Technical Lead
10 days ago
Cambridge
Location: Cambridge, UK Job Type: Contract • Collaborate with product teams: Provide technical direction and support for Gen AI solutions across cross‑functional groups., • Own Gen AI product vision: Define and communicate the technical vision, ensuring solutions meet product goals., • Document technical designs: Maintain clear designs and project documentation, refine user stories, and manage resources and timelines., • Identify and manage technical risks: Proactively assess Gen AI‑specific risks such as model bias and data privacy and ensure visibility of mitigation strategies., • Lead and mentor teams: Inspire technical teams, foster collaboration, and encourage innovation in Gen AI development., • Define governance frameworks: Establish standards for Gen AI product development, including ethical and responsible AI practices., • Deliver service readiness: Ensure Gen AI solutions meet Service Acceptance Criteria for successful deployment., • Ensure compliance and data security: Align development with regulatory, security, and industry requirements throughout the lifecycle., • Oversee DevOps, DataOps, and MLOps: Ensure Gen AI solutions adhere to coding, security, and performance standards., • Promote FAIR data principles: Champion findability, accessibility, interoperability, and reusability in data pipelines and Gen AI solutions., • 10+ years of experience in software engineering, data engineering, and cloud engineering, with recent leadership in Gen AI and ML solution delivery., • Deep technical mastery in data engineering, software engineering, and cloud platforms, combined with advanced knowledge of Generative AI systems and frameworks., • Expertise in AI engineering principles, including MLOps, prompt engineering, model deployment, and operationalizing large language models (LLMs)., • Strong knowledge and practical application of DevOps, MLOps, and DataOps methods, processes, and tooling., • Demonstrated product development and product management experience, with emphasis on Gen AI features and capabilities., • Ability to provide technical thought leadership in Generative AI and Data & Analytics., • Exceptional stakeholder management, communication, and collaboration abilities in complex environments., • Proven problem‑solving, analytical thinking, and a collaborative, team‑oriented mindset., • Hands‑on experience delivering Gen AI solutions from ideation through productization, driving technical innovation and transformation., • Familiarity with Data Mesh and Data Product concepts for modern data architecture., • Proficient in Agile methodologies, iterative development, and delivering value in cross‑functional teams., • Demonstrated capability in designing, implementing, and optimizing data pipelines and ETL processes using state‑of‑the‑art tools., • Skilled at architecting and managing secure, scalable AWS environments and working experience with data & analytics services such as Amazon EC2, AWS Lambda, AWS Fargate, Amazon ECS, Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon SageMaker, and Amazon Bedrock., • Expertise in workflow orchestration tools such as Apache Airflow., • Experience implementing DataOps best practices and tooling, including DataOps.Live., • Advanced skills in data storage and management platforms like Snowflake., • Ability to deliver insightful analytics via business intelligence tools such as Power BI., • Full‑stack development experience: backend (Node.js, Python), frontend (ReactJS)., • Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.)., • Hands‑on implementation and operation of AI/ML models with services like Amazon SageMaker., • Advanced proficiency in Python and related AI/ML productivity libraries., • Expertise in SQL and NoSQL database technologies., • Python, • AWS, • Gen AI #J-18808-Ljbffr