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Avanade

Digital transformation, cloud, and IT consulting.

Lead Agentic AI Engineer

AI Application EngineeringUpdated on Nov 12
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Hands-on experience with large language models 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 a focus on cost optimisation, scalability, observability, security, and governance.
  • Experience using the Microsoft generative AI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework.
  • Proficiency 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.
  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • Microsoft certification, such as Azure AI Apps and Agents Developer Associate or Agentic AI Business Solutions Architect.

Responsibilities

  • Own technical solution design and architecture decisions, bringing clarity to 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 generative AI solutions in enterprise environments.
  • Lead end-to-end solution delivery, from discovery and design through implementation, deployment, and handover.
  • Make 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 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, demonstrations, proposals, and client discussions.
  • Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards.

Desired Qualifications

  • Experience building, deploying, and evaluating multi-agent AI solutions, agent orchestration patterns, retrieval-augmented generation architectures, and enterprise integrations.
  • Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A.
  • Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness.
  • Confidence contributing to pre-sales while also being able to lead implementation during delivery.
  • Motivation to stay current with advancements in generative AI, agentic AI, and AI engineering frameworks.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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