Technical Lead at TEKsystems
Location: Cambridge, UK
Job Type: Contract
Accountabilities
* 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.
Essential Skills/Experience
* 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.
Key Skills Summary
* Python
* AWS
* Gen AI
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