Director, Forward Deployed Engineering

🏢 Summary: Lead and grow a Forward Deployed Engineering team delivering production-quality AI integrations, reference architectures, and proofs of concept for an AI cloud platform. The role combines people leadership, technical architecture oversight, partner engagement, and hands-on prototyping across agentic AI, inference, infrastructure, and data systems. 🗂️ Requirements: 8+ years of hands-on AI application, ML systems, or AI infrastructure engineering experience, 2+ years of engineering team leadership or management experience, Deep practical knowledge of LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines, Hands-on experience with agentic frameworks, Strong Python programming and end-to-end AI prototyping skills, Experience defining reference architectures and technical patterns, Experience building API and developer-platform integrations, Ability to work with external partner engineering teams and internal product and engineering teams, Strong technical communication skills, Authorization to work in the country of application 📃 Skills: Python, LangChain, LangGraph, CrewAI, AutoGen, LLM, RAG, FastAPI, Flask, Docker, Kubernetes, Git, AWS, GCP, Azure, vLLM, SGLang, TensorRT-LLM, Transformers, Qdrant, Weaviate, Milvus, pgvector, CUDA, TensorRT, NeMo 🏢 Description: The Role Nebius builds infrastructure for demanding AI workloads, including GPU clusters, inference runtimes, agent development environments, and data pipelines. As Manager of Forward Deployed Engineering, you will lead Forward Deployed Engineers working at the intersection of solution architecture and hands-on engineering. You will set the technical bar, develop your team’s craft, and ensure integrations, reference architectures, and proofs of concept are production-quality and strategically sound. You will remain technically engaged by reviewing architectures, unblocking complex scoping problems, and occasionally prototyping. Remote work is available within the United States. Responsibilities People & Team Leadership • Hire, develop, and retain Forward Deployed Engineers across agentic, inference, infrastructure, and data focus areas. • Set expectations for technical quality and partner engagement; coach engineers toward those standards. • Run structured 1:1s, provide direct, actionable feedback, and own each team member’s growth. • Build a culture where moving quickly and building well are aligned. • Partner with Recruiting to define requirements for FDE roles and source candidates from the AI builder community. Technical Oversight & Architecture • Review and elevate integration architectures, proofs of concept, reference patterns, and partner scoping assessments. • Act as a technical escalation point for complex partner engagements and contribute hands-on when needed. • Maintain a high bar for the reference architecture library, emphasizing patterns that should be emulated. • Stay current with the AI tooling ecosystem to guide the team’s technical judgment. Ecosystem Presence • Represent the organization at hackathons, open-source communities, and technical events. • Build public demos, reference architectures, and integrations. • Track new developments in the AI tooling ecosystem and assess their impact on the platform stack. Platform Focus Areas Depending on background and mutual fit, focus on one or more areas: • Agentic: agent frameworks, memory systems, tool integration, orchestration, MCP, and guardrails. • Managed Inference: inference runtimes, model serving, optimization tooling, speculative decoding, and KV-cache routing. • IaaS / Managed Infrastructure: cloud-native integrations, GPU orchestration, and enterprise platform connectors. • Data: vector databases, retrieval systems, RAG architectures, data-pipeline integrations, and synthetic-data tooling. Partner & Internal Stakeholder Engagement • Engage with senior partner engineering leaders and founding CTOs on strategic matters. • Translate field insights into actionable product requirements for platform teams. • Represent the FDE function in platform planning discussions as the technical voice of ecosystem integration. • Work with ISV, SI, and field teams to scale solution adoption and drive revenue after integrations are ready. Required Qualifications • 8+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure. • 2+ years managing or leading engineers, with a record of developing technical talent. • Deep working knowledge of LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines gained through shipping products. • Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent. • Strong Python skills and the ability to prototype end-to-end AI systems quickly. • Experience defining reference architectures and technical patterns. • Ability to rapidly move from idea to working prototype and deliver meaningful work under time pressure. • Experience building integrations across APIs and developer platforms. • Ability to work simultaneously with external partner engineering teams and internal Product and Engineering teams. • Strong technical communication skills for explaining architecture decisions and integration findings to technical and non-technical stakeholders. Preferred Qualifications • Experience with vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, and KV-cache routing. • Familiarity with CUDA, TensorRT, NeMo, or equivalent NVIDIA software. • Experience with multimodal AI models for vision-language, speech, or structured data. • Recent placement or win at a major AI hackathon. • Experience as a developer advocate, solutions engineer, or technical partner manager at an AI platform or developer-tooling company. • Early engineering experience at a YC-backed AI startup. • Open-source projects or public demos with meaningful community adoption. • Proficiency with Docker, Kubernetes, and Git. Preferred Technical Stack • Languages: Python. • ML frameworks: vLLM, SGLang, TensorRT-LLM, Transformers, and OpenAI / Anthropic SDKs. • Agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent. • Vector databases: Qdrant, Weaviate, Milvus, and pgvector. • API and web frameworks: FastAPI and Flask. • DevOps: Kubernetes, Docker, and Git. • Cloud platforms: AWS, GCP, and Azure. Key Employee Benefits • 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) plan with up to 4% company match and immediate vesting. • 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers. • Remote-work reimbursement of up to $85 per month for mobile and internet. • Company-paid short-term disability, long-term disability, and life insurance. Compensation Actual compensation is based on job-related factors, including experience, skills, qualifications, hiring level, and geographic location, consistent with applicable law. Starting base compensation range: $225,800–$281,000 USD. Benefits & Perks • Competitive compensation. • Career growth and learning opportunities. • Flexibility and ownership. • Collaborative and innovative culture. • Opportunity to work on impactful AI projects. • International environment and talented teams. Work Environment Fast moving; bold thinking; constant growth; meaningful impact; trust and real ownership; opportunity to shape the future of AI. Equal Opportunity and Work Authorization Equal employment opportunities are provided without discrimination based on protected characteristics under applicable law. Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility as a condition of hire. Accommodations during the application process are available upon request.

🏢 Summary: IT Risk & Controls Manager role embedded with technology teams to scale IT SOX and controls across an AI cloud platform, infrastructure, and financial-reporting systems. The position leads risk assessment, control design, audit readiness, remediation, and control automation while partnering with engineering, Finance, and external auditors. Base compensation is $120,000–$180,000 USD, with competitive benefits and international collaboration. 🗂️ Requirements: Degree in Information Systems, Computer Science, Engineering, Accounting, Finance, related field, or equivalent experience, 8+ years in IT risk, IT controls, IT SOX, technology assurance, IT audit, or related work, In-house technology or corporate control-ownership experience, First-line technology, engineering, systems, or IT operations experience, or embedded in-house risk-partner experience, Hands-on experience in engineering-led technology, cloud, SaaS, platform, or digital-product environments, Knowledge of SOX 404, ITGCs, application controls, automated controls, COSO, and COBIT, Experience designing, implementing, monitoring, testing, and remediating controls, Understanding of cloud infrastructure, IAM, DevOps, CI/CD, SDLC, repositories, deployments, integrations, and Kubernetes, Experience linking business-process controls with systems, automated controls, IPEs/IUCs, and IT dependencies, English proficiency, Ability to work across international time zones and travel when needed, Authorization to work in the country of application 📃 Skills: SOX, ITGCs, COSO, COBIT, IAM, DevOps, CICD, SDLC, Kubernetes, SaaS, Cloud, GRC, Workiva, Jira, ServiceNow, NetSuite 🏢 Description: Description The IT Risk & Controls Manager acts as an embedded risk partner to engineering and technology organizations. The role helps scale and strengthen a modern IT SOX and controls framework across the custom-built AI cloud platform, infrastructure, corporate technology environment, and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. It works directly with engineering leaders, system owners, Finance, Internal Controls, and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation, and embed compliance into technology operations. The successful candidate combines deep IT risk and controls expertise with meaningful in-house technology experience. They must be comfortable discussing technical control design with engineers, explaining risk implications to business leaders, and aligning audit expectations with external assurance providers. Responsibilities - Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks, and financial-reporting dependencies. - Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation, and control ownership. - Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation, and remediation oversight. - Partner with engineering, platform, infrastructure, security, and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. - Design, assess, and enhance ITGCs across user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management, and third-party services. - Assess IT application controls, automated controls, and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. - Evaluate how business controls depend on systems, integrations, configurations, reports, and underlying ITGCs; work with business and IT control owners to resolve gaps. - Apply risk and controls thinking to cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments, and audit logging. - Lead assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations, and acquisitions. - Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the control environment. - Maintain relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines, and issue resolution. - Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. - Use data analytics, automation, continuous monitoring, and AI-assisted tools to improve control coverage, evidence quality, and IT SOX program efficiency. - Contribute to IT controls methodology, standards, tooling, training, reporting, and the broader Risk Partner operating model. - Provide clear updates on control health, audit readiness, deficiencies, and remediation progress to senior technology and Finance stakeholders. Requirements - Degree in Information Systems, Computer Science, Engineering, Accounting, Finance, or a related discipline, or equivalent professional experience. - At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit, or a closely related area. - Meaningful in-house technology or corporate ownership experience. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility; an exclusively advisory or external-audit background is insufficient. - Experience in a first-line technology, engineering, systems, or IT operations role, or as an embedded in-house risk partner supporting a technology organization. - Hands-on experience in an engineering-led technology, cloud, SaaS, platform, or digital-product environment. - Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO, and COBIT. - Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation, and remediation. - Practical understanding of cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations, and container orchestration such as Kubernetes. - Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs, and underlying IT dependencies. - Ability to communicate effectively with engineers, technical leaders, Finance stakeholders, and external auditors. - Strong judgment and confidence to challenge control owners while developing practical, scalable solutions. - Highly autonomous and hands-on approach, with the ability to work effectively in an evolving environment with incomplete processes and competing priorities. - Strong written and verbal English. - Ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. Preferred Qualifications - Professional certification such as CISA, CRISC, CISM, CIA, CPA, or an equivalent qualification. - Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. - Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces, or another engineering-intensive environment. - Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC, or similar platforms. - Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools, or treasury systems. - Experience onboarding acquired companies or newly implemented systems into SOX scope. - Experience with control automation, continuous monitoring, data analytics, or AI-assisted assurance. - Exposure to AI governance, AI/ML control environments, or controls supporting AI-enabled development and operations. Compensation Competitive compensation and benefits packages are offered. Actual compensation is determined by job-related factors, including experience, skills, qualifications, hiring level, and geographic location, consistent with applicable law. Base Compensation Range: $120,000–$180,000 USD Benefits & Perks - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams Work Environment Fast moving. Bold thinking. Constant growth. Meaningful impact. Trust and real ownership. Opportunity to shape the future of AI. Equal Opportunity Equal employment opportunities are provided in all aspects of employment without discrimination based on race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Accommodations during the application process are available upon request.

🏢 Summary: Partner Engineer role owning the technical relationship and joint product roadmap between Databricks and Microsoft Azure. The position drives cross-company engineering integrations, resolves dependencies, develops reference architectures, and enables field teams on Azure–Databricks solutions. 🗂️ Requirements: 10+ years in cloud solution architecture, partner engineering, or technical program management, Deep expertise in Microsoft Azure services and architecture patterns, Experience managing strategic technical partnerships with VP/C-level stakeholders, Hands-on ability to prototype integrations, debug complex issues, and validate technical feasibility, Experience with Python, SQL, infrastructure-as-code, and API integrations, Ability to manage complex multi-company engineering initiatives and drive consensus, Deep knowledge of the Databricks platform and Microsoft data/AI ecosystem, Strong technical communication and influence across product, engineering, and partner teams 📃 Skills: Azure, Databricks, Python, SQL, APIs, Infrastructure-as-code 🏢 Description: About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing the cross-product roadmap, driving engineering integrations, and ensuring products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Product Management, Engineering, and Field teams. Impact You Will Have • Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. • Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own coordination rhythms, including recurring syncs and escalation paths, through delivery. • Drive engineering integration work between Databricks and Azure product teams, coordinating cross-company technical initiatives from scoping through delivery. • Create and maintain technical architecture artifacts showing “better together” integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions. • Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins. What We're Looking For • 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns. • Proven experience managing strategic technical partnerships at VP/C-level, with the ability to navigate complex multi-company engineering initiatives and drive consensus across organizations. • Hands-on technical skills with the ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns. • Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health. • Deep knowledge of the Databricks platform and Microsoft data/AI ecosystem. • Excellent communication and influence skills, with the ability to translate technical requirements between Product Management, Engineering, and external partner teams. Preferred • Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers or major ISVs. • Background working at or with Microsoft, including an understanding of its field organization, partner program structure, and decision-making processes. • History of driving product-to-product integrations between major platforms. • Familiarity with modern development workflows and AI-assisted development tools, including Cursor, Claude Code, and Codex. Pay Range Transparency The expected pay range for this role is $150,200–$206,450 USD in both Zone 1 and Zone 2. Actual compensation is based on job-related skills, depth of experience, relevant certifications and training, and work location. The total compensation package may include eligibility for an annual performance bonus, equity, and benefits. Benefits Comprehensive benefits and perks are provided based on regional availability. Our Commitment to Diversity and Inclusion A diverse and inclusive culture is supported, with inclusive hiring practices and equal employment opportunity standards. Applicants are considered without regard to protected characteristics. Compliance If job duties require access to export-controlled technology or source code, the employer may decide whether to apply for a U.S. government license and may decline to proceed with an applicant on this basis alone.

🏢 Summary: Senior FPGA developer role focused on designing, implementing, verifying, and validating programmable-logic components for data-center servers. The position owns FPGA architecture and companion firmware, supports deployment and fleet operations, leads technical work, and mentors engineers. 🗂️ Requirements: 8+ years of professional software development experience, 8+ years of programming experience, 8+ years of hardware description language programming experience, 5+ years leading system design or architecture, Experience troubleshooting and debugging hardware, Experience mentoring, serving as a technical lead, or leading an engineering team, Experience contributing to architecture and design of new and existing systems, Bachelor’s degree in electrical engineering or equivalent 📃 Skills: FPGA, VHDL, Verilog, SystemVerilog, Firmware, Hardware, Debugging, Architecture, Validation 🏢 Description: Description This individual contributor role is part of a software development team responsible for FPGA programmable-logic components that operate and support servers in data centers and other environments. The role owns comprehensive FPGA development, including architecture, design, work estimates, implementation, verification, and validation of new features and capabilities. It also contributes to companion firmware that interfaces with programmable-logic design and system-level operations using FPGA functions. Responsibilities - Lead technical work and development efforts through delivery and beyond, including defining work for other team members to meet program milestones. - Collaborate with architecture, hardware, validation, and software engineering teams, as well as external partners, to solve complex system challenges. - Support firmware deployment, operational monitoring, debugging, and fleet health. - Mentor and develop junior team members; contribute to technical direction, team growth, efficiency, and quality. Basic Qualifications - 8+ years of non-internship professional software development experience. - 8+ years of programming experience with at least one software programming language. - 5+ years of experience leading design or architecture of new and existing systems, including design patterns, reliability, and scaling. - Experience troubleshooting and debugging hardware. - Experience as a mentor, technical lead, or engineering team lead. - Experience contributing to the architecture and design of new and existing systems. - Bachelor’s degree in electrical engineering or equivalent. - 8+ years of programming experience with at least one hardware description language: VHDL, Verilog, or SystemVerilog. Preferred Qualifications - 8+ years of full software development life-cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations. - Experience leading and influencing a team or organization. - Experience with work breakdown and estimating design-task effort. Compensation and Benefits - Base salary range: $193,300–$261,500 annually in Cupertino, California; $168,100–$227,400 annually in Seattle, Washington. - Compensation package includes sign-on payments and restricted stock units; final compensation is based on experience, qualifications, and location. - Comprehensive benefits include medical, dental, vision, prescription, life and disability insurance options, employee assistance and mental-health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Drive analytics, reporting, and data-model development for AWS Private Pricing programs, turning sales and customer data into strategic recommendations for executive decision-making. The role leads cross-functional reporting improvements, automation, forecasting support, and operational processes for private-pricing growth. 🗂️ Requirements: Bachelor’s degree or equivalent in a related field, 5+ years of technical product or program management experience, 5+ years of data analysis and interpretation experience, Experience with Redshift, Oracle, or NoSQL data systems, Experience representing critical customers and stakeholders in executive-level prioritization and planning, Experience owning product feature delivery and trade-offs 📃 Skills: Redshift, Oracle, NoSQL, Analytics, Reporting, Forecasting, Automation 🏢 Description: The Global Deal Strategy and Programs (GDSP) organization is responsible for the AWS Private Pricing Program, designed to offer AWS customers commercial benefits in exchange for multi-year spend commitments. Private Pricing helps customers accelerate cloud transformation through multi-year relationships, providing pricing value, service access, and opportunities to innovate. The program serves enterprise customers making cloud commitments and is positioned to expand access and value for Private Pricing customers. GDSP is seeking an individual who can communicate effectively across technical and non-technical business units and geographies. Successful team members collaborate to solve data problems, implement reporting solutions, and meet high operational standards. The ideal candidate is highly motivated and able to tell the story of data with little direction or supervision. Key Job Responsibilities • Lead sales executive discussions to share insights, challenge the status quo, and provide forward-looking recommendations that enable strategic decision-making and growth of Private Pricing. • Support the development of continuously evolving business analytics and data models; own quantitative analysis of sales-team, customer, deal-team, partner, market, and product/service performance. • Develop a deep understanding of sales metrics, reporting tools, and data structures to identify and resolve issues; provide actionable intelligence using existing metrics or develop new metrics, dashboards, scorecards, and tools. • Build relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues. • Manage and develop analytical tools or reports that automate inspection mechanisms, including business reviews, annual planning, and forecasting processes. • Create operational templates and processes to compile and standardize disparate information for consistent reporting and metric tracking. • Generate ad-hoc analyses and reports with actionable recommendations through data retrieval and analysis from data-management systems. • Create mechanisms and business processes that simplify, standardize, and enable operational excellence. Basic Qualifications • Experience representing and advocating for critical customers and stakeholders during executive-level prioritization and planning. • 5+ years of technical product or program management experience. • 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, or similar systems. • Bachelor’s degree or equivalent in a related field. • Experience owning feature delivery and product trade-offs. Preferred Qualifications • Experience influencing senior leadership through data-driven insights. • Experience working across functional teams and senior stakeholders. • Experience owning technology products, including 1P and 3P products. Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. • New York, NY: $166,300.00–$225,000.00 USD annually. • Seattle, WA: $151,200.00–$204,600.00 USD annually. Comprehensive benefits include health insurance (medical, dental, vision, prescription, life and AD&D insurance, supplemental life-plan options, EAP, mental-health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage), 401(k) matching, paid time off, and parental leave.

🏢 Summary: Lead the engineering teams delivering and operating a group-wide AI platform. The role combines people leadership, scalable platform delivery, MLOps standards, and close collaboration with cloud, data, product, and change teams. 🗂️ Requirements: Bachelor’s or master’s degree in Computer Science, Engineering, or related field, Engineering-team management experience in AI/ML, platform, or cloud environments, AI/ML concepts, MLOps workflows, and model operationalization, Cloud-platform and containerization experience, Python or similar programming-language background, Experience scaling platform services, Stakeholder-management and cross-functional communication skills 📃 Skills: AI, ML, MLOps, AWS, Azure, GCP, Docker, Kubernetes, Python 🏢 Description: Platform Engineering Manager Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As the Engineering Manager within Capgemini, you will be responsible for leading the delivery teams behind Neo, the newly launched Group-wide AI platform. You will manage the engineers who build and operate Neo’s AI capabilities, ensuring high-quality delivery and smooth collaboration across cloud, data, product, and change teams. This role is central to translating business needs into scalable platform features while supporting teams through the rapid evolution of Neo. Your tasks Managing and developing the Neo engineering team to ensure high-quality delivery and strong technical standards. Overseeing and coordinating the design, build, and evolution of Neo’s AI platform components. Ensuring and improving the scalability, performance, and reliability of the platform in collaboration with cloud engineering. Standardizing and promoting best practices in MLOps, model deployment, and platform operations. Partnering closely with product, data and change teams to align technical work with business priorities and upcoming AI use cases. Your profile Bachelor's or master's degree in computer science/engineering, or a related field. Proven experience managing engineering teams in AI/ML, platform, or cloud environments. Solid understanding of AI/ML concepts, MLOps workflows, and model operationalization. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Technical background in Python or similar languages, with experience scaling platform services. Strong communication and stakeholder‑management skills, working with product, cloud, comms, and change teams. Bonus: experience with MLOps tools, distributed AI systems, open‑source contributions, Kaggle, or GCP certifications. What You'll love about working here Practical benefits : yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Cutting-Edge Technology : Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Technical Design Change Manager role overseeing feasibility, technical review, and implementation of data-center design changes across a large global project portfolio. The position evaluates multidisciplinary infrastructure systems, coordinates engineering and business stakeholders, and improves design-change governance, reporting, and deployment processes. 🗂️ Requirements: 5+ years of industrial or commercial engineering experience in mission-critical facilities, Experience in data centers, power generation, or oil and gas facilities, Bachelor’s degree in Electrical Engineering or related field 📃 Skills: AWS, Electrical, Mechanical, Civil, Structural, Architectural, Controls, Plumbing, FireProtection, Thermal, HVAC, UPS, Switchgear, Hydraulics, Construction, Procurement, Commissioning, Automation 🏢 Description: Description We are seeking a highly technical Design Change Manager to join the GDSCM team, focusing on the Basis of Design (BOD) and Programmatic Design Change Management (PDCM) programs. This role requires deep technical expertise across multiple engineering disciplines and the ability to evaluate complex design changes across 300+ in-flight projects. As a Design Change Manager, you will serve as a technical expert evaluating design change requests across electrical, mechanical, civil, structural, architectural, controls, plumbing, fire protection, and thermal systems. You will conduct feasibility analyses, coordinate technical reviews with principal engineers across all disciplines, and manage the end-to-end lifecycle of design changes from initiation through implementation. You will work closely with Design Engineering, Construction Management, Procurement, Finance, and Product teams to ensure design changes are properly vetted, funded, and executed. Key Job Responsibilities Technical Design Evaluation • Evaluate complex design changes across multiple engineering disciplines, including electrical power distribution, mechanical cooling systems, structural loads, civil site work, architectural layouts, controls systems, plumbing infrastructure, and fire protection systems. • Analyze technical specifications, construction drawings, equipment datasheets, and system integration requirements to assess design change feasibility and impact. • Understand and explain the complexity of data center designs, including power distribution from utility to rack level, cooling system architectures, backup power systems, and building infrastructure. • Identify technical dependencies and cross-discipline impacts when evaluating proposed design changes. • Assess constructability, maintainability, and operational implications of design modifications. • Review and validate technical calculations, including electrical load calculations, cooling capacity requirements, structural load analysis, and hydraulic calculations. Design Change Management • Manage a portfolio of design changes across multiple in-flight projects, ensuring alignment with business priorities and technical requirements. • Conduct feasibility analyses and production-readiness assessments for proposed design changes, evaluating technical risk, schedule impact, and cost implications. • Coordinate technical reviews with principal engineers across mechanical, electrical, structural, civil, architectural, controls, plumbing, and fire protection disciplines. • Develop and maintain implementation plans, tracking design change execution from approval through site deployment. • Present design change recommendations and cost implications to senior leadership, clearly articulating technical complexity and business impact. • Evaluate design improvements and innovations, assessing their applicability across the global portfolio. Cross-Discipline Collaboration • Partner with Electrical Engineers on power distribution design, generator sizing, UPS configurations, switchgear specifications, and high-voltage systems. • Collaborate with Mechanical Engineers on cooling system design, HVAC configurations, piping layouts, and thermal management strategies. • Work with Structural Engineers on foundation design, seismic requirements, equipment support structures, and building loads. • Engage with Civil Engineers on site grading, stormwater management, utility routing, and site infrastructure. • Coordinate with Architectural teams on building layouts, space planning, and building envelope design. • Interface with Controls Engineers on building management systems, monitoring systems, and automation strategies. • Partner with Fire Protection Engineers on fire suppression systems, detection systems, and life-safety requirements. Stakeholder Coordination • Partner with Design Management teams to understand project-specific requirements, constraints, and technical challenges. • Collaborate with Finance teams on cost validation, funding strategies, and budget tracking for design changes. • Work with Construction Management and Procurement teams to assess schedule impacts, supply-chain constraints, and constructability. • Engage with Product and Solutions teams to evaluate new equipment, emerging technologies, and design approaches. • Coordinate with Commissioning teams to ensure design changes support testing and startup requirements. Process Improvement • Identify opportunities to streamline design change workflows and reduce execution timelines while maintaining technical rigor. • Develop and maintain technical documentation, including standard operating procedures, design standards, technical specifications, and RACI matrices. • Contribute to automation initiatives and tooling improvements for design change management. • Support integration of cost-validation frameworks and bulk-funding mechanisms. • Drive continuous improvement in technical review processes and design-quality standards. Program Execution • Track and report on design-change metrics, including approval timelines, cost avoidance, implementation status, and technical quality. • Maintain design-change databases and dashboards for cross-functional visibility. • Support BOD release planning and coordination to minimize redesign impacts. • Participate in weekly leadership reviews, presenting program status, key decisions, and technical recommendations. About the Team The Global Design Standards and Change Management organization within Data Center Engineering is responsible for establishing and maintaining design standards across the global data center portfolio. The team manages three mission-critical programs: • Basis of Design (BOD): Establishes and governs foundational technical standards for global data center designs, ensuring consistency and quality across the portfolio. • Programmatic Design Change Management (PDCM): Manages design change requests across 300+ in-flight projects. • 360 Equipment Qualification Program (360 EQP): Qualifies equipment and technologies for deployment across the global portfolio, evaluating emerging solutions and driving standardization of critical systems. Together, these programs deliver capacity across the AMER, APAC, and EMEA regions. Basic Qualifications • 5+ years of industrial or commercial engineering experience in mission-critical facilities, including data centers, power generation, or oil and gas facilities. • Bachelor’s degree in Electrical Engineering or a related field. • Experience in industrial or commercial engineering in mission-critical facilities, including data centers, power generation, or oil and gas facilities. Preferred Qualifications • Professional Engineer License. • Experience with building codes and regulations for the applicable region. • Experience carrying design concepts through exploration, development, and deployment or mass production. • Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents. Compensation and Benefits The base salary range is $116,800.00–$160,000.00 USD annually for Columbus, OH; Austin, TX; Herndon, VA; and Seattle, WA. The compensation package includes sign-on payments and restricted stock units (RSUs); final compensation is based on experience, qualifications, and location. Comprehensive benefits include health insurance, medical, dental, vision, prescription coverage, life and AD&D insurance options, an employee assistance program, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.