Technical Lead

TEKsystems; Cambridge; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading technology solutions provider is seeking a Technical Lead in Cambridge to guide Gen AI initiatives. The role demands over 10 years of experience in software and data engineering, with a focus on Generative AI solutions. The candidate will lead cross-functional teams, establish governance frameworks, and ensure compliance with technical standards. Ideal for someone with deep expertise in cloud platforms and AI engineering principles.

Qualifications

• 10+ years of experience in software, data engineering, and cloud engineering.
• Deep technical mastery in data engineering and Generative AI frameworks.
• Expertise in AI engineering principles and operationalizing large language models.

Responsibilities

• Provide technical direction and support for Gen AI solutions.
• Define and communicate the technical vision for product goals.
• Establish standards for Gen AI product development, ensuring ethical practices.

Skills

Software engineering

Data engineering

Cloud engineering

Generative AI

MLOps

Analytical thinking

Python

AWS

Tools

Apache Airflow

Snowflake

Power BI

Job description

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