AI Engineering Lead

Camstgroup; Greater London; On-site; GBP 80,000 - GBP 110,000; Full time

Job summary

A leading technology company in Greater London is seeking an AI Engineering Lead to drive the technical vision and oversee AI solutions for clients. This role combines hands-on work in architecture and coding while leading a team to scale AI capabilities. Ideal candidates will have a robust background in software and machine learning engineering, and experience with LLM solutions. This position offers an opportunity to significantly impact client successes with advanced AI applications.

Qualifications

• Minimum BSc (2.1 or higher) in Computer Science, Engineering, Mathematics or related STEM field.
• 3+ years of hands-on software engineering experience (Python preferred), with a proven record of delivering production-grade AI/ML services.
• Practical experience designing and shipping LLM solutions using RAG/agentic patterns.
• Demonstrated ability to deploy and manage AI workloads on major cloud platforms (AWS, Azure or GCP).
• Strong knowledge of DevOps/MLOps practices, including CI/CD and containerisation.
• Experience leading and mentoring engineering teams, balancing technical delivery and team growth.
• Excellent problem-solving and system design skills.

Responsibilities

• Lead the design and implementation of advanced AI solutions, including LLMs.
• Design, deploy, and optimise scalable AI workloads on cloud platforms for high performance.
• Define and enforce architectural standards and best practices for AI engineering.
• Build and optimise MLOps pipelines and CI/CD workflows for production ML systems.
• Ensure reliability, monitoring, and performance optimisation of deployed AI systems.
• Drive applied research to explore and implement emerging AI architectures.
• Provide technical leadership and foster a collaborative culture within the team.

Skills

Software Engineering

Machine Learning

Python

DevOps/MLOps

Cloud Platforms (AWS, GCP, Azure)

System Design

Education

BSc in Computer Science, Engineering, or related STEM field

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Job description

Requisition ID11026-Posted - Years of Experience (1) -Technology- Where (1)

Glue Reply is the outcome-focused Architecture specialist within the Reply Group. Through services encompassing Business Change/Transformation, Strategy & Architecture, Data exploitation and Integration, Glue Replyis able tohelp its clients succeed by turning strategy into tangible solutions and vision into practical outcomes. Glue Reply diagnoses the challenges andadviseson the way to make real impact – enabling its clients to deliver. www.glue.reply.com

Role Overview

As an AI Engineering Lead, you will own the technical vision and oversee the engineering delivery of AI solutions for clients. You will be instrumental in establishing and scaling AI capabilities by defining standards, leading research and experimentation, and building reusable, production-grade systems. This role requires both strong technical leadership and hands‑on involvement in architecture, coding, and deployment, empowering your team to deliver impactful solutions. The ideal candidate has a robust background in software and ML engineering, with a passion for agent-based systems, modern AI architectures, and real-world AI applications.

Responsibilities

• Lead the design and implementation of advanced AI solutions, including LLMs, agentic systems, and retrieval-augmented pipelines.
• Design, deploy and optimise scalable AI workloads on cloud platforms (AWS, GCP, Azure) for high performance and reliability.
• Define and enforce architectural standards, design patterns, and best practices for AI engineering.
• Build and optimise MLOps pipelines, CI/CD workflows, and infrastructure-as-code for production ML systems.
• Ensure reliability, observability, monitoring and performance optimisation of deployed AI systems.
• Drive applied research and experimentation to explore and implement emerging AI architectures and techniques.
• Provide technical leadership, mentorship and foster a collaborative culture within the AI engineering team.
• Build reusable components, frameworks and internal tooling to enhance delivery speed and consistency.

About the Candidate

• Minimum BSc (2.1 or higher) in Computer Science, Engineering, Mathematics or related STEM field.
• 3+ years of hands‑on software engineering experience (Python preferred), with a proven record of delivering production-grade AI/ML services.
• Practical experience designing and shipping LLM solutions using RAG/agentic patterns, orchestration frameworks (e.g. LangChain, LlamaIndex), vector search and API integrations.
• Demonstrated ability to deploy and manage AI workloads on major cloud platforms (AWS, Azure or GCP).
• Strong knowledge of DevOps/MLOps practices, including CI/CD, containerisation and orchestration (Docker, Kubernetes).
• Experience leading and mentoring small‑to‑medium engineering teams, balancing technical delivery and team growth.
• Excellent problem‑solving and system design skills, with expertise in architecting scalable, distributed AI systems.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.

Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.