AI Solution Engineer

Job Description

Role Overview

As an AI Solution Engineer within the ADM practice, you design and build production-grade AI and automation solutions that enhance application development and maintenance delivery. You create scalable, reusable components that can be embedded into ADM processes and deployed across client environments.

Key Responsibilities

• Develop AI-powered solutions and intelligent automation workflows
• Integrate AI agents into ITSM platforms, DevOps pipelines, and enterprise systems
• Build reusable components such as orchestration frameworks and APIs
• Ensure compliance, security, and scalability
• Deploy solutions into production with ADM teams
• Continuously improve and industrialize AI capabilities

Experience

• Software engineering (Python/C#/Node), Git, CI/CD - must have
• Experience in AI supported development (Claude Code or Github Copilot) - nice to have
• API integration (REST, OAuth2, webhooks) - must have
• Experience or/and knowledge on Retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities with external knowledge sources, and multi-agent communication protocols to enable seamless collaboration and coordination among agents - must have
• Production readiness (logging, monitoring, resilience, security) - nice to have
• Experience on AI governance (guard rails, multi agent architecture) - nice to have
• Integration with ITSM/DevOps/RPA ecosystems - nice to have
• Tools: Semantic Kernel/LangChain, Microsoft Agent Framework (MAF), Azure Foundry stack or UiPath (preferred) - nice to have

Background