We’re partnered with a growing technology consultancy who are looking for a Lead AI Engineer to help deliver scalable, production-ready AI solutions for enterprise clients.
The role combines hands-on engineering, technical leadership, and client collaboration, with a strong focus on practical AI implementation rather than experimental POCs.
Key Responsibilities
- Design and deliver AI-powered applications using LLMs and agent frameworks
- Build and customise workflows with Autogen and LangGraph
- Integrate AI solutions into enterprise systems and digital products
- Support AI adoption and best practices across client environments
- Mentor engineers and maintain high engineering standards
Required Experience
- Experience with Azure or AWS AI services
- Knowledge of MLOps, Kubernetes, Docker, and vector databases
- Familiarity with observability tools such as Langfuse/OpenTelemetry
London hybrid working (Tue–Thu onsite)
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Oliver Bernard”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436996635__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }We’re partnered with a growing technology consultancy who are looking for a Lead AI Engineer to help deliver scalable, production-ready AI solutions for enterprise clients.
The role combines hands-on engineering, technical leadership, and client collaboration, with a strong focus on practical AI implementation rather than experimental POCs.
Key Responsibilities
- Design and deliver AI-powered applications using LLMs and agent frameworks
- Build and customise workflows with Autogen and LangGraph
- Integrate AI solutions into enterprise systems and digital products
- Support AI adoption and best practices across client environments
- Mentor engineers and maintain high engineering standards
Required Experience
- Experience with Azure or AWS AI services
- Knowledge of MLOps, Kubernetes, Docker, and vector databases
- Familiarity with observability tools such as Langfuse/OpenTelemetry
London hybrid working (Tue–Thu onsite)
#J-18808-Ljbffr…
