Technical Lead

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

• 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.