Practice Manager - AI & Data

🏢 Summary: Leadership role focused on building and managing an AI & Data practice, driving client engagement, technical strategy, and delivery across AI, machine learning, data engineering, and cloud platforms. The position combines practice leadership, pre-sales support, team development, and hands-on technical oversight for scalable AI and data solutions. The role is on-site in Greensboro, NC, Broomfield, CO, or Troy, MI with competitive salary and performance bonus. 🗂️ Requirements: 12-15 years in consulting, engineering services, or technology-driven organizations, 5+ years in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Knowledge of Generative AI technologies and LLM ecosystems, Experience with AI/ML frameworks, Experience with data engineering platforms and distributed systems, Experience with cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations, Bachelor's degree in Computer Science, Data Science, AI, or related field 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning, DataEngineering, PromptEngineering, Containerization, Orchestration 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience with AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience with Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience with Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience with MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through recruitment, coaching and mentoring, internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus Note: This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement: Candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Leadership role for managing and scaling an AI & Data practice focused on generative AI, machine learning, data engineering, and cloud AI solutions. The position combines technical leadership, client engagement, pre-sales support, and team development across advanced AI and data initiatives. Includes responsibility for driving AI innovation, mentoring teams, and delivering scalable enterprise AI architectures. 🗂️ Requirements: 12-15 years in consulting, engineering services, or technology-driven organizations, 5+ years in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Experience with Generative AI technologies and LLM ecosystems, Experience with AI/ML frameworks, Experience with Data Engineering tools and distributed systems, Experience with cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations, Bachelor’s degree in Computer Science, Data Science, AI, or related field 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning, DataEngineering, Containerization, Orchestration 🏢 Description: We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Responsibilities Practice Leadership & Management - Lead and manage the AI & Data practice - Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development - Provide line management and leadership to members of the practice including technical leadership across AI and Data - Define skills development objectives for practice members and evaluate progress and effectiveness - Develop, improve, and standardize processes, methodologies, and tools - Foster a culture of collaboration, innovation, and knowledge sharing across the practice Client Engagement & Pre-Sales - Partner with Sales and Account teams to identify and shape AI & Data opportunities - Lead or contribute to solutioning, proposals, and RFP responses - Act as a trusted advisor in client discussions and executive forums - Align AI & Data solutions with business value and client outcomes Technical Leadership & Innovation - Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) - Support delivery teams with hands-on guidance and expert oversight - Drive development of AI & Data offerings, accelerators, and reusable assets - Identify opportunities for AI-driven productivity gains and automation - Ensure adoption of industry best practices and scalable architectures Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in: - Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through: - Recruitment - Coaching and mentoring - Internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Practice Manager role leading Electrical Engineering and Software practices, focused on technical leadership, team management, pre-sales support, and capability development across engineering teams. The position involves managing cross-functional resources, driving technical excellence, and supporting business growth in product development environments. Candidates should have extensive engineering leadership experience and expertise in electrical engineering or software domains. 🗂️ Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Software, or related engineering discipline, 12-15 years of experience in engineering or product development, 8-10 years of leadership experience in cross-functional or matrix organizations, Experience leading or managing a competence or practice department, Technical leadership expertise in Electrical Engineering or Software, Experience with technical pre-sales and proposal development, Resource planning and competency management experience, Ability to work with geographically distributed cross-functional teams, US citizenship or permanent residency 📃 Skills: Electrical, Software, Engineering, Pre-sales, RFP, RFQ, CFT, Embedded, Automotive, Aerospace 🏢 Description: Job Summary We are seeking an experienced and dynamic Practice Manager to lead our Electrical Engineering and Software practices. The Practice Manager will be responsible for managing a team of experts and specialists, driving technical excellence, supporting business growth through pre-sales activities, and developing organizational capabilities across the practice. The ideal candidate will possess strong technical leadership, people management, and strategic planning skills, along with the ability to build and scale high-performing teams of experts and specialists. Key Responsibilities Practice Leadership & Management - Lead and manage the Electrical Engineering and Software practices - Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development - Provide line management and leadership to members of the practice including technical leadership in either Electrical Engineering or Software - Define skills development objectives for practice members and evaluate progress and effectiveness - Develop, improve, and standardize processes, methodologies, and tools - Foster a culture of collaboration, innovation, and knowledge sharing across the practice Pre-Sales & Technical Engagement - Technically lead pre-sales activities and customer engagements for the disciplines within the practice - Own and oversee the practice team's technical contributions to proposals and bid responses - Select and coordinate participating team members in response to RFPs, RFQs, and CFTs - Participate in client discussions, technical reviews, and solution presentations - Collaborate with business development and delivery teams to support growth initiatives Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through: - Recruitment - Coaching and mentoring - Internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree in Electrical Engineering, Computer Engineering, Software, or related engineering disciplines - Master's degree is a plus Required Skills & Experience - 12-15 years of professional experience in an Engineering or Product Development field - 8-10 years of leadership experience, including within a cross-functional / matrix managed organization - Prior experience leading or managing a competence/practice department is highly preferred - Strong leadership and people management capabilities - Deep understanding of Electrical Engineering and/or Software domains - Experience supporting technical pre-sales and proposal development activities - Strong stakeholder management and communication skills - Experience in resource planning and competency management - Ability to work across cross-functional and geographically distributed teams - Strong problem-solving, organizational, and decision-making skills Preferred Qualifications - Familiarity with industry standards, engineering lifecycle processes, and quality frameworks - Experience managing multidisciplinary engineering teams - Exposure to automotive, aerospace, or embedded systems domains is a plus Leadership Expectations - Strategic thinker with strong execution capabilities - Customer-focused mindset with business acumen - Ability to mentor and inspire high-performing technical teams - Strong collaboration and relationship-building skills - Commitment to operational excellence and continuous improvement Salary Range: $160,000 - $170,000 + Bonus The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Note: Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Drug Screening Requirement: All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Lead AI Developer role focused on designing and deploying enterprise-scale AI systems, including RAG pipelines and agentic AI solutions integrated with cloud platforms and enterprise infrastructure. The position involves technical leadership, MLOps implementation, AI governance, and guiding AI projects from proof of concept to production in a hybrid environment. 🗂️ Requirements: 6+ years in Software or Data Engineering, Experience deploying ML/AI systems in production, Bachelor’s degree in an engineering discipline, Expertise in Generative AI and LLMs, Experience with RAG architectures and prompt engineering, Advanced Python proficiency, Knowledge of APIs, microservices, and Kubernetes, Experience with GCP, AWS, or comparable cloud platforms, Ability to lead technical teams, Experience presenting architectures to executive audiences 📃 Skills: Python, LLMs, RAG, Kubernetes, GCP, AWS, Palantir, LangGraph, ADK, MLOps, CI/CD, APIs, Microservices 🏢 Description: We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. As AI Lead Developer you will be responsible for: Key Responsibilities: - Lead design and development of enterprise-scale AI systems integrated with broader IT landscape (AWS, GCP, Palantir). - Build RAG pipelines and multi-agent systems, driving evolution toward autonomous Agentic AI. - Drive AI projects from PoC to production (scaling, CI/CD, MLOps, monitoring). - Provide technical leadership, code reviews, and mentorship to internal/external teams. - Act as technical advisor bridging business requirements and technical feasibility. - Implement AI governance guardrails for data privacy and hallucination prevention. Education and Experience: - 6+ years in Software/Data Engineering with proven track record deploying ML/AI systems in production. - Bachelor’s degree in an engineering discipline. Qualifications: - Expertise in Generative AI, LLMs, RAG architectures, and prompt engineering. - Expert Python proficiency and modern software architecture (APIs, microservices, Kubernetes). - Experience with GCP preferred (AWS or comparable cloud platforms acceptable). Palantir Foundry is a plus. - Proven ability to lead technical teams and present architectures to executive audiences. - Experience with AI Agent frameworks (LangGraph, ADK) and classical ML is a plus. Salary Range: $145,000 - $175,000 The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Remote AI Lead Data Engineer role responsible for designing and delivering enterprise-grade AI data platforms while leading a team of engineers. The position focuses on building scalable Lakehouse architectures, advanced MLOps frameworks, and LLM orchestration pipelines. It bridges Data Science and Data Engineering to ensure robust, governed, and production-ready AI infrastructure. 🗂️ Requirements: 8–10 years of Data Engineering experience, Minimum 3 years in technical lead role, Expert-level Python, Expert-level SQL, Expert-level PySpark in distributed environments, Experience with SageMaker, Azure ML, or Vertex AI, Hands-on MLflow or Kubeflow for CI/CD, Experience with Monte Carlo or Datadog, Experience with Collibra or Alation, Implementation of Responsible AI guardrails, Knowledge of Medallion, Data Mesh, Lakehouse architectures, Experience with PII masking and data lineage, Knowledge of HIPAA and GDPR compliance 📃 Skills: Python, SQL, PySpark, SageMaker, AzureML, VertexAI, MLflow, Kubeflow, MonteCarlo, Datadog, Collibra, Alation, Lakehouse, Medallion, DataMesh, CI/CD, LLM, HIPAA, GDPR 🏢 Description: This is a remote position. The AI Lead Data Engineer acts as the technical lighthouse for our data squads. With 8–10 years of experience, you are responsible for the technical design and delivery of robust AI data platforms. You will bridge the gap between Data Science and Data Engineering, ensuring that our infrastructure supports advanced MLOps and LLM requirements while leading a team of engineers to maintain elite coding and governance standards. Key Responsibilities: Technical Leadership: Lead a squad of data engineers in the design and execution of end-to-end AI data architectures. AI Observability & Governance: Build frameworks for bias detection, ethical AI considerations, and auditability using platforms like Collibra or Alation. Infrastructure Design: Lead the transition to Data Lakehouse architectures and implement feature stores for enterprise-wide model reuse. Delivery Management: Work with stakeholders to manage project milestones, technical risks, and on-time delivery. Advanced MLOps: Implement enterprise-grade CI/CD for ML workflows using MLflow or Kubeflow. GenAI Orchestration: Design specialized pipelines for LLM evaluation frameworks and prompt-tuning datasets. Requirements 8–10 years of experience with at least 3 years in a lead role managing technical delivery. Expert-level Python, SQL, and PySpark optimization for distributed environments. Deep experience with AI platform services such as Amazon SageMaker, Azure ML, or Vertex AI. Hands-on experience implementing enterprise observability with Monte Carlo or Datadog. Experience with data governance platforms (Collibra/Alation) and implementing Responsible AI guardrails. Deep understanding of modern data patterns (Medallion architecture, Data Mesh, Lakehouse). Advanced knowledge of security frameworks, including PII masking, data lineage, and HIPAA/GDPR compliance. Exceptional ability to mentor junior engineers and communicate complex data strategies to business stakeholders. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row

🏢 Summary: The role involves leading and executing digital transformation initiatives with a strong focus on AI-driven automation and data analytics to enhance operational efficiency and business growth. The position requires aligning digital strategy with business goals, overseeing multiple projects, and ensuring successful adoption of innovative technologies. The candidate will drive AI integration, automation strategies, and data-informed decision-making across the organization. 🗂️ Requirements: Bachelor’s degree in Computer Science, Business, Engineering or related field, Minimum 7 years of experience leading complex digital transformation projects, Proven experience with AI-driven automation and Generative AI, Strong data analytics and complex data interpretation skills, Deep understanding of digital technologies and SaaS platforms, Experience in leading cross-functional technical teams, Product management experience delivering measurable value, Knowledge of change management principles 📃 Skills: AI, GenerativeAI, Automation, DataAnalytics, SaaS, DigitalTransformation, ProductManagement, Agile, ProjectManagement, DataAnalysis 🏢 Description: Introduction & Summary The Digital Transformation Team Lead will be responsible for spearheading the implementation of innovative digital strategies to enhance operational efficiency and drive business growth through AI integration. The ideal candidate will possess extensive expertise in AI-driven transformation, automation strategy, and data analytics, ensuring effective alignment of solutions with business objectives. Main Responsibilities Lead the organization’s digital strategy, ensuring alignment with business goals and managing multiple projects simultaneously. Oversee the execution of digital transformation initiatives, providing direction and leadership. Facilitate the delivery of impactful digital solutions, ensuring clarity on problem definition and stakeholder alignment. Enhance customer journeys by leveraging AI technologies to improve both customer and employee experiences. Utilize data-driven insights to inform decision-making and foster a culture of data analytics. Drive operational execution, ensuring initiatives are delivered on time, within scope, and with measurable impact. Engage with stakeholders for support on digital transformation initiatives, ensuring transparent communication. Manage change effectively to facilitate the smooth adoption of digital solutions. Build cross-functional teams and foster a culture of innovation and collaboration. Mitigate risks associated with digital initiatives, ensuring project quality standards are met. Continuously evaluate emerging technologies to maintain a competitive edge. Key Requirements Bachelor's degree in a relevant field (e.g., Computer Science, Business, Engineering); a master's degree or relevant certifications are preferred. Minimum of 7 years of experience in leading complex digital transformation projects. Proven experience with AI-driven automation, including Generative AI. Strong analytical skills to interpret complex data and make informed decisions. Deep understanding of digital technologies and SaaS platforms. Demonstrated leadership in mentoring and building high-performing teams. Excellent product management capabilities to drive measurable value. Outstanding communication and negotiation skills. Proficiency in change management principles. Relevant certifications in project management or digital transformation are a plus. Nice to Have Experience in AI technologies and their strategic application in business. Knowledge of agile methodologies and principles. Strong stakeholder engagement experience in technical fields.

🏢 Summary: Tech Lead AI responsible for designing and scaling GenAI systems based on Python, leading a team in building LLM-powered solutions such as chatbots, AI agents, and RAG systems. The role focuses on architecture, optimization, and integration of AI solutions with scalable backend and cloud environments. It combines hands-on development of advanced AI systems with technical leadership and strategic technology direction. 🗂️ Requirements: Minimum 6 years in software engineering, At least 2 years in Lead/Staff/Principal/Manager role, Expertise in Python, Experience with ML/AI frameworks, Experience building and optimizing LLM systems, Experience with chatbots, AI agents and RAG, Knowledge of scalable APIs and distributed systems, Experience with cloud platforms, Experience with Docker and Kubernetes, Experience with fine-tuning AI models, Knowledge of LangChain and LlamaIndex, Experience with MLOps and CI/CD for AI, Ability to design system architecture and conduct code reviews 📃 Skills: Python, Django, FastAPI, Flask, TensorFlow, PyTorch, HuggingFace, LLM, RAG, LangChain, LlamaIndex, OpenAI, Anthropic, Mistral, LLaMA, AWS, GCP, Azure, Docker, Kubernetes, MLOps, CI/CD, Prompting 🏢 Description: O roli Szukamy Tech Leada AI z silnym doświadczeniem w Pythonie , który będzie odpowiedzialny za architekturę i rozwój systemów opartych na GenAI . Osoba na tym stanowisku pokieruje zespołem inżynierów, wdrażając nowoczesne rozwiązania oparte na LLM, chatbotach, agentach AI i systemach RAG . Twoim zadaniem będzie tworzenie, optymalizacja i skalowanie systemów AI , a także aktywna współpraca z zespołami produktowymi, badawczymi i biznesowymi. Rola wymaga silnego technicznego leadershipu , strategicznego myślenia oraz umiejętności przekładania celów biznesowych na efektywne rozwiązania inżynieryjne . Twoje zadania 🔹 Projektowanie i rozwój systemów GenAI: Tworzenie architektury i infrastruktury AI opartych na Pythonie. Optymalizacja wydajności i skalowalności LLM, chatbotów, agentów AI oraz systemów RAG . Integracja rozwiązań AI z systemami backendowymi i produktami cyfrowymi. 🔹 Zarządzanie zespołem i technologią: Techniczne prowadzenie zespołu programistów, zapewnienie code quality i best practices . Mentoring i rozwój zespołu w zakresie technologii GenAI. Definiowanie roadmapy technologicznej i priorytetów zespołu. 🔹 Innowacje i strategia: Badanie i wdrażanie najnowszych frameworków oraz modeli LLM (np. OpenAI, Anthropic, Mistral, LLaMA). Tworzenie customowych modeli AI oraz optymalizacja procesów inferencji. Eksploracja możliwości fine-tuningu LLM oraz strategii prompt engineeringu . 🔹 Współpraca z biznesem i produktami: Ścisła współpraca z zespołami data science, ML i produktowymi . Konsultowanie architektury i strategii AI z interesariuszami biznesowymi. Tworzenie AI-driven rozwiązań , które realnie wpływają na użytkowników. Czego oczekujemy? Min. 6 lat doświadczenia w inżynierii oprogramowania , w tym 2+ lat jako Lead/ Staff/ Principal lub Manager. Ekspertyza w Pythonie (Django, FastAPI, Flask) oraz frameworkach ML/AI (TensorFlow, PyTorch, Hugging Face). Doświadczenie w tworzeniu i optymalizacji LLM, chatbotów, agentów AI, RAG . Znajomość architektur skalowalnych API i systemów rozproszonych . Doświadczenie w pracy z chmurami (AWS, GCP, Azure) i konteneryzacją (Docker, Kubernetes). Umiejętność prowadzenia code review, architektury rozwiązań i strategii technologicznej . Świetne zdolności komunikacyjne i współpracy z różnymi działami. Doświadczenie w fine-tuningu modeli AI i strategiach retrieval-augmented generation (RAG) . Znajomość technologii LangChain, LlamaIndex, Prompt Engineering . Background w MLOps, CI/CD dla AI .

🏢 Summary: Remote customer-facing role focused on driving value and outcomes for healthcare organizations using AI imaging solutions. Acts as a trusted advisor to physicians and medical centers, bridging customers with product, data, and engineering teams to enhance adoption and impact. Involves data analysis, stakeholder management, and cross-functional collaboration to demonstrate measurable clinical and operational value. 🗂️ Requirements: BSc in science, engineering, or quantitative field, 4+ years in Customer Success, customer-facing analytics, Project Management, or similar roles, Experience working in SaaS high-tech or startup environment, Stakeholder management and executive-level relationship building, Strong analytical and data-driven decision-making skills, Ability to understand technical concepts and collaborate with technical teams, Excellent verbal and written communication skills in English, Ability to work in PST time zones, Ability to travel up to 25% 📃 Skills: SaaS, Analytics, AI, MedicalImaging, Radiology, ProjectManagement, StakeholderManagement, DataAnalysis, Research, English 🏢 Description: About this role This position focuses on championing customer-centric solutions and outcomes. You will work closely with engineering, operations, sales, and support teams to understand customers, enhance the value they get from the solutions, and demonstrate organizational impact. You will develop a strong understanding of customers' business objectives and articulate how AI enterprise solutions support their strategic goals. This is a remote role to be filled in the Western US. Responsibilities Serve as the customer's advocate and trusted advisor: - Proactively manage and grow customer relationships, identifying key stakeholders. - Lead discussions with top physicians in leading medical centers. - Understand customer pain points and workflows and enhance the value of AI in their departments. - Define next steps and collaborate with R&D teams to drive execution. Serve as the liaison between customers and internal teams: - Ensure smooth onboarding of new customers with the technical team. - Drive product enhancements and collaborate cross-functionally with Product, Data, and AI teams, representing the customer perspective. - Maintain a deep understanding of the solutions, expected performance, and user interface. Drive value demonstration: - Perform data analysis and present insights to customers. - Initiate and support research initiatives. Requirements - BSc in science, engineering, or any quantitative field (MSc preferred). - 4+ years of experience in Customer Success, customer-facing analytics, Project Management, or similar roles. - Experience in a SaaS high-tech or startup environment is an advantage. - Experience with data analytics is an advantage. - Experience working with medical imaging and radiologists is an advantage. - Research experience is an advantage. - Experience in stakeholder management and executive-level relationship building. - Ability to multitask, problem-solve, and work cross-functionally in a dynamic environment. - Strong analytical thinking and data-driven decision-making. - Ability to understand technical concepts and collaborate with technical teams. - Excellent verbal and written communication skills in English. - Ability to work in PST time zones. - Ability to travel up to 25%. What We Offer - Medical, dental, and vision benefits. - Stock options for full-time employees. - Flexible time off without accrual limits, coordinated with manager and team. - 401(k) plan with company match, life insurance, and long- and short-term disability coverage. - Opportunity to directly improve medical care and patient outcomes.

🏢 Summary: Senior technical role leading the design, optimization, and delivery of core business applications within a large IT transformation program. The position focuses on Java-based microservices, cloud and DevOps adoption, and collaboration with architecture and infrastructure teams. It combines hands-on development expertise with technical leadership across strategic platforms. 🗂️ Requirements: 6+ years of experience with Java microservices, Strong experience with JEE and Spring Boot, Experience in API and REST development, Proficiency in Kubernetes, Proficiency in Python, Experience with cloud migration projects, Hands-on experience with Oracle Database and WebLogic, Experience with messaging systems such as IBM MQ or WebSphere, Knowledge of IT security standards, Understanding of functional and technical architecture principles, Fluency in English 📃 Skills: Java, JEE, SpringBoot, REST, API, Microservices, Kubernetes, Python, Oracle, WebLogic, IBMMQ, WebSphere, DevOps, Agile, CloudMigration, Architecture, Security 🏢 Description: Key Responsibilities: Technical Leadership: Provides expert technical guidelines and support to IT analysts and development teams. Application Optimization: Identifies improvement and optimization opportunities for major core business applications. Strategic Delivery: Contributes to the delivery of high-priority projects within core business platforms. Infrastructure Collaboration: Partners with Architects, Security, and Infrastructure teams to design and evolve technical solutions. IT Transformation: Drives the adoption of DevOps, Agile methodologies, and AI readiness as part of broader group transformation programs. Technical Requirements: Java Expertise: Over 6 years of experience with Java microservices, JEE, Spring Boot, and API/REST development. Cloud & DevOps: Proficiency in Kubernetes and Python, with cloud migration expertise and DevOps knowledge listed as significant advantages. Data & Middleware: Experience with Oracle components (Database, WebLogic) and messaging flows such as IBM MQ or WebSphere. Standards & Architecture: Deep awareness of IT security standards, quality metrics, and functional/technical architecture principles. Professional Skills: Fluency in English with the ability to present complex technical topics to senior stakeholders.

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access