Digital Transformation Team Lead (Remote Short-Term Project)

🏢 Summary: This role leads the end-to-end digital transformation of Life Science operations, driving the adoption of disruptive technologies across R&D, clinical, and manufacturing domains. It focuses on designing and scaling compliant digital solutions that accelerate time-to-market and optimize regulated workflows. The position combines enterprise architecture, emerging technologies, and large-scale change leadership to embed digital innovation at the core of the organization. 🗂️ Requirements: Extensive experience in Life Science industry, Experience implementing digital solutions within GxP and HIPAA frameworks, Proven IT leadership in digital transformation or enterprise architecture, Expertise in Cloud, IoT, or DCT platforms, Experience leading technology implementation in regulated environments, Ability to manage digital platforms selection and validation, Experience moving PoC to enterprise-scale production, Strong English communication skills 📃 Skills: Cloud, IoT, DCT, GxP, HIPAA, EnterpriseArchitecture, DigitalTransformation, ChangeManagement, Automation, Compliance, Validation, ITLeadership 🏢 Description: Principal Digital Innovation & Transformation Lead Summary: The Principal Digital Innovation & Transformation Lead is responsible for spearheading the digital evolution of our organization. This role focuses on identifying, piloting, and scaling disruptive technologies that optimize research, development, and commercial operations. You will lead the cultural and technical shift required to integrate digital solutions into the core of our Life Science workflows. Key Requirements: Extensive experience in the Life Science industry , with extensive experience implementing digital solutions within GxP, HIPAA, and other regulatory frameworks. Experience in IT leadership, with a focus on digital transformation, Change Management, or Enterprise Architecture. Deep expertise in emerging technologies such as Cloud adoption, IoT in labs/manufacturing, or Decentralized Clinical Trials (DCT) platforms. Demonstrated ability to lead organizational change, influencing stakeholders at all levels to adopt new digital ways of working. Exceptional English communication skills, with the ability to create compelling narratives around digital ROI and patient-centric innovation. Main Responsibilities: Design and execute the global Digital Transformation strategy, ensuring it accelerates time-to-market for new therapies. Partner with Clinical, R&D, and Manufacturing heads to identify bottlenecks that can be solved through digital automation and advanced technology. Oversee the selection and implementation of digital platforms, ensuring they meet rigorous Life Science validation and compliance standards. Act as a change agent, fostering a digital-first mindset across the organization through training, workshops, and strategic communication. Manage the innovation budget and portfolio, moving projects from proof-of-concept (PoC) to full-scale enterprise production.

🏢 Summary: Lead Data Engineer role focused on driving AI initiatives and building scalable cloud-based data architectures in a global environment. The position involves technical ownership of data platforms, designing secure and high-performing systems, and leading data engineering efforts in a DevOps setting. The role emphasizes AI integration, cloud infrastructure, and enterprise-grade data governance. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python in production, Strong experience designing and scaling complex data systems, Hands-on experience with AI technologies, Hands-on experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs and data integration, Experience with automation tools, Knowledge of data governance practices, Understanding of data security and compliance standards, Proven experience leading and mentoring engineers 📃 Skills: Python, SQL, AWS, Azure, Java, AI, RAG, MCP, APIs, DevOps, Automation, Monitoring, Cloud, DataEngineering, DataPipelines, Governance, Security, Compliance, Backend 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Senior Integration Architect role focused on designing and leading integration processes for a global data integration backbone connecting enterprise applications. The position involves architectural oversight, hands-on integration design, and technical leadership to ensure scalable and reliable system connectivity. This is a fully remote B2B contract role within a digital transformation and AI-driven environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, IT, Data Engineering or related field, Proven experience in IT architecture and system integration, Hands-on experience with NodeJS, Experience with AWS services, Experience with Terraform (Infrastructure as Code), Knowledge of Azure DevOps, Experience with GitHub Repos, Proficiency with Linux command line, Experience in GxP environments, Experience managing IT projects 📃 Skills: NodeJS, AWS, CloudWatch, Lambda, Terraform, Azure, DevOps, GitHub, Linux, GxP, CICD, Architecture, Integration 🏢 Description: Introduction & Summary: The Data, Analytics, and AI Organization within the Digital Transformation Unit is seeking a skilled Senior Integration Architect to lead integration processes for a global data integration backbone. This platform connects applications for a uniform experience across customers and employees. What we offer: Rate: 53 euro/ h Full Remote from UE B2B Contract Main Responsibilities: As a Senior Integration Architect, you will be responsible for the following: Integration Planning and Design: Lead planning and design of integration processes to ensure effective system connectivity. Team Leadership: Manage and mentor engineers in implementing integration solutions. Collaboration with Stakeholders: Work with Squad Leads to align integration strategies with business objectives. Technical Oversight: Ensure scalable, reliable integration solutions following IT architectural best practices. Documentation and Standards: Maintain comprehensive documentation for integration standards and practices. Intercultural Communication: Promote open communication among teams across diverse geographical locations. Key Requirements: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related field. Proficiency in IT Architecture & design, with specific experience in system integration. Experience with NodeJS and AWS services including CloudWatch, Lambda, and more. Familiarity with Infrastructure as Code (Terraform). Knowledge of Azure DevOps, GitHub Repos, and Linux command line tools. Experience in GxP environments and in managing IT projects. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Fluent in English; German proficiency is a plus. Nice to Have: Experience in Agile Project Management techniques. Knowledge of CI/CD processes. Experience working in multicultural environments.

🏢 Summary: Senior leadership role leading enterprise-wide transformation in a Life Sciences environment, driving convergence of technology, process optimization, and regulatory-compliant digital adoption. Responsible for designing and executing multi-year transformation programs that enhance operational agility, innovation, and data-driven decision-making. Oversees establishment of a Transformation Management Office and alignment of IT, R&D, Clinical, and Finance functions. 🗂️ Requirements: Direct experience in Life Sciences industry, Deep knowledge of GxP, CSV, and Quality Systems, 10–12+ years leading large-scale transformation programs, Experience managing multi-year global transformation initiatives, Strong expertise in Change Management methodologies, Experience aligning IT, Finance, R&D, and Clinical operations, Experience operating within regulated environments 📃 Skills: GxP, CSV, QualitySystems, ChangeManagement, Transformation, Digital, Data, ProcessOptimization, Regulatory, IT, R&D, Clinical, Finance, Governance, TMO 🏢 Description: Summary: The Head of Transformation is a senior leadership role responsible for driving large-scale organizational change and operational excellence. This role focuses on the convergence of technology, process optimization, and cultural shifts to ensure the organization remains agile and competitive. You will lead the "big picture" initiatives that redefine how the company operates, innovates, and delivers value to patients in an increasingly digital world. Key Requirements: Direct professional experience within the Life Science industry , with a deep understanding of how regulatory requirements (GxP, CSV, and Quality Systems) impact business process transformation and digital adoption. Minimum of 10-12 years of professional experience, with a proven track record of leading complex, multi-year transformation programs in large, global organizations. Strong background in Change Management methodologies and the ability to navigate the unique cultural nuances of scientific, medical, and technical professional environments. Demonstrated ability to align IT, Finance, R&D, and Clinical operations toward a single, cohesive strategic vision. Exceptional English communication and storytelling skills, essential for gaining executive buy-in and motivating global teams through periods of significant change. Main Responsibilities: Design and lead the overarching transformation roadmap, ensuring all initiatives are prioritized based on their impact on scientific innovation and operational agility. Bridge silos between departments to create seamless, end-to-end business processes that leverage modern technology and data-driven insights. Establish a Transformation Management Office (TMO) to track progress, manage global budgets, and ensure the realization of expected business benefits. Act as a senior advisor to the Executive Leadership Team on emerging industry trends and the organizational capabilities required to address them. Lead organizational design and cultural change initiatives to ensure the company remains agile and receptive to new ways of working within a regulated landscape.

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions in a TSL environment. The position bridges business needs and technical implementation, owning backlog, architecture alignment, and production releases. Requires driving agile squads and ensuring secure, scalable, and compliant AI deployments. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Experience with backlog management and delivery flow, Working knowledge of AI, ML, LLM or RAG solutions, Understanding of software architecture, APIs and system integrations, Knowledge of AI governance, security and data privacy principles, Experience translating business needs into technical requirements, Experience working with cross-functional enterprise teams, Fluent Business English, Working knowledge of Jira, Confluence and MS Office 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Integrations, Security, Compliance, DataPrivacy, Agile, Scrum, Backlog, Jira, Confluence, MSOffice 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead / Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions, translating business needs into technical scope, and ensuring successful production rollout. The role bridges business and technical teams, owning backlog, architecture alignment, and AI governance to deliver scalable, value-driven solutions. Hybrid work model with responsibility for agile squads and cross-functional coordination. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Strong backlog management and delivery flow expertise, Working knowledge of AI, ML, LLM, RAG solutions, Understanding of software architecture, APIs, integrations, Knowledge of AI governance, security, data privacy principles, Ability to translate business requirements into technical scope, Experience working in cross-functional enterprise teams, Fluent Business English, Experience with Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Security, DataPrivacy, Jira, Confluence, Agile 🏢 Description: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Remote AI Lead DevOps Engineer role responsible for defining and executing the MLOps and CI/CD strategy for enterprise AI platforms. The position focuses on architecting secure, compliant, and fully automated ML lifecycle governance, ensuring auditability, reproducibility, and large-scale reliability. The role combines technical leadership with hands-on design of cloud-native, DevSecOps-driven AI infrastructure. 🗂️ Requirements: 8–10 years DevOps or Cloud Engineering experience, Minimum 3 years in technical leadership or architect role, Strong knowledge of end-to-end ML lifecycle, Expertise in CI/CD pipeline design and implementation, Advanced Infrastructure as Code experience, Experience with SAST and DAST implementation, Strong IAM and access control management in cloud, Ability to design observability frameworks for ML systems, Experience with configuration management in multi-cloud environments, Knowledge of database scaling and security, Experience implementing model governance and auditability practices 📃 Skills: MLOps, CI/CD, DevSecOps, Azure, AzureDevOps, GitHubActions, Jenkins, Terraform, CloudFormation, SAST, DAST, IAM, Ansible, Puppet, MySQL, PostgreSQL, MongoDB, Observability, Git 🏢 Description: This is a remote position. We are looking for an AI Lead DevOps Engineer to spearhead the MLOps strategy for our high-impact AI accounts. With 8–10 years of experience, you will provide the technical leadership necessary to design robust, compliant, and highly automated AI platforms. You aren't just managing pipelines; you are architect the entire lifecycle governance—ensuring reproducibility, audibility, and security at an enterprise scale. Key Responsibilities: Strategic Leadership: Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account. Model Governance & Evaluation: Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production. Enterprise Security: Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations. Platform Enablement: Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails. Auditability & Reproducibility: Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies. Mentorship: Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture. Requirements 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role. Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops). Mastery across Azure DevOps, GitHub Actions, and Jenkins. Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments. Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment. Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI. Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments. Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB. Understanding of how DevOps practices support responsible AI (e.g., bias tracking and audit logs). Exceptional ability to collaborate with Architects and Data Scientists to translate high-level AI needs into operational reality. Native or C1-level English, with the ability to present technical strategies to senior 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: Full-time Delivery/Product Lead role focused on driving end-to-end delivery of AI solutions in a hybrid model in Warsaw. The position bridges business needs with technical implementation, leading agile squads from discovery to production while ensuring architectural, security, and governance standards. The assignment runs until the end of 2026 under a B2B contract. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Proven experience in backlog management and delivery flow, Working knowledge of AI, ML, LLM or RAG solutions, Understanding of software architecture and system integrations, Knowledge of APIs and technical integrations, Familiarity with AI governance, security and data privacy principles, Experience leading cross-functional technical teams, Fluent Business English, Working knowledge of Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, Architecture, APIs, Integrations, Agile, Scrum, Backlog, Jira, Confluence, Security, Compliance, DataPrivacy, MSOffice 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions in a hybrid model (Warsaw). The position bridges business needs and technical implementation, owning backlog, architecture alignment, and production release. The goal is to ensure scalable, secure, and value-driven AI deployments across enterprise initiatives. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or related field, 10+ years of experience in agile product or software delivery, Strong experience in backlog management and delivery flow, Working knowledge of AI/ML/LLM/RAG solutions, Understanding of software architecture, APIs, and system integrations, Knowledge of AI governance, security, and data privacy principles, Experience translating business requirements into technical scope and backlog, Experience leading technical delivery from discovery to production, Fluent English (written and spoken), Working knowledge of Jira, Confluence, and MS Office 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Integration, Security, Compliance, DataPrivacy, Governance, Agile, Backlog, Jira, Confluence, MSOffice, Monitoring 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 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