Lead Agentic AI Engineer - GenAI & Azure Expert

Avanade

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Training & certifications

Global access to technical resources

Collaboration with Microsoft experts

Career development opportunities

Job summary

Avanade is seeking a highly skilled Lead Agentic AI Engineer to drive end-to-end design, development, and deployment of production-grade generative AI and agentic solutions using Microsoft technologies. You will lead architectural decisions, mentor engineers, and collaborate with cross-functional teams to deliver scalable, secure AI systems.

Required skills include hands-on experience with LLMs, agentic AI design, prompt engineering, and production deployments within the Microsoft GenAI

Qualifications

Hands-on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral.
Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi-agent patterns.
Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance.
Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost.
Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance.
Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework.
Proficient in Python and production-quality code practices.
Strong understanding of software engineering principles, architecture patterns, and delivery best practices.
Experience with API development using frameworks such as FastAPI, Flask, or Django.
Knowledge of Docker, containerised deployments, CI/CD, and cloud-native delivery patterns.

Responsibilities

Take ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements.
Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices.
Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments.
Lead end-to-end solution delivery, from discovery and design through implementation, deployment, and handover.
Make clear technical design decisions that support scalability, reliability, security, and maintainability.
Lead and mentor junior team members, helping them deliver high-quality outcomes and grow their technical capability.
Collaborate effectively with cross-functional teams in agile environments.
Manage technical stakeholders and client conversations, translating business needs into practical AI solution designs.
Support or lead pre-sales activities, including solution shaping, technical estimations, demos, proposals, and client discussions.
Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards.