AI Engineer 

What you’ll be doing

• Lead AI systems development and technical roadmap across multiple business units
• Design and implement integration frameworks for agentic AI across enterprise platforms
• Deliver Azure AI, Power Platform and integration solutions
• Establish integration patterns using APIs, MCP and emerging agentic protocols
• Turn business problems into practical, AI‑powered solutions
• Contribute to architecture reviews, governance, and management of technical debt
• Mentor engineers and promote a culture of experimentation and knowledge sharing

You’ll be a great fit if you

• Are a hands‑on technical leader who enjoys complex, high‑impact engineering work
• Have strong software/platform engineering experience and can shape architecture and platform strategy
• Are confident in one or more core languages (e.g. Python, C#, Java)
• Have experience with LLMs, Generative AI and/or agentic systems
• Understand emerging AI protocols, RAG patterns, prompt engineering and AI safety
• Bring solid experience with Microsoft Azure, Azure AI, Power Platform and enterprise integration
• Know SDLC, Agile and DevOps, and can lift engineering discipline in others

You’ll need

• Significant software engineering experience (around 10+ years) with a track record in AI/ML or platform environments
• Proven experience architecting and delivering high‑value platform, automation or AI‑driven solutions
• Deep experience with modern cloud, microservices and CI/CD automation
• The ability to influence technical direction and business outcomes at scale

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