Lead Agentic Ai Engineer

Avanade Inc.; England; On-site; GBP 120,000 - 180,000; Full time

Job summary

Avanade Inc. is seeking a highly skilled Lead Agentic AI Engineer to drive design, development, and deployment of production-grade generative AI and agentic solutions using Microsoft technologies in the UK.

The role requires hands-on experience building AI capabilities, orchestrating agentic workflows, evaluating AI systems, and delivering secure, scalable production environments using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio.

Qualifications

• Hands-on experience building AI solutions in enterprise settings.
• Experience orchestrating agentic workflows and GenAI solutions.
• Ability to implement evaluation frameworks for AI systems.
• Experience taking production AI into secure, scalable environments on cloud platforms.

Responsibilities

• Take ownership of technical solution design and architecture decisions.
• Act as the technical lead on projects, guiding implementation strategy and standards.
• Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments.
• Lead end-to-end solution delivery from discovery to handover.
• Make clear technical design decisions to support scalability and security.
• Mentor junior team members and grow technical capability.
• Collaborate with cross-functional teams in agile environments.
• Manage technical stakeholders and client conversations to translate needs into designs.
• Support or lead pre-sales activities including demonstrations and proposals.
• Lead implementation during delivery to meet architecture and quality standards.

Job description

We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team and drive the design, development, and deployment of production-grade generative AI and agentic solutions using Microsoft technologies.

This role is ideal for a technically strong engineer who has hands-on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and taking solutions into secure, scalable, and cost-optimised production environments using platforms such as Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio.

Key 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

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