Technical Lead, Software Development, AI Engineer (Applied​/Software)

Technical Lead at TEKsystems

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 Dev Ops, Data Ops, 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 Dev Ops, MLOps, and Data Ops 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 Sage Maker, and Amazon Bedrock.
• Expertise in workflow orchestration tools such as Apache Airflow.
• Experience implementing Data Ops best practices and tooling, including Data Ops.
  
  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 Sage Maker.
• Advanced proficiency in Python and related AI/ML productivity libraries.
• Expertise in SQL and No
  
  SQL database technologies.

• Python
• AWS
• Gen AI