About this role

As an AI Solution Engineer, you will design, build and deploy AI solutions across two delivery paths – low‑code using Microsoft Copilot Studio and Salesforce AgentForce, and pro‑code using Python and modern AI/ML frameworks. You will work directly with business stakeholders to turn real problems into production‑ready solutions, owning the full delivery lifecycle from PoC to go‑live and ensuring each solution meets our quality, governance and documentation standards.

Responsibilities

- Design and build low‑code AI solutions from PoC through to production deployment, using Microsoft Copilot Studio and other low‑code platforms for standard agentic use cases, and Python with modern AI/ML frameworks for more complex use cases.

- Work directly with business stakeholders and digital capabilities to define scope, validate outputs and iterate based on real user feedback.

- Own the end‑to‑end technical delivery of each use case – from first prototype to go‑live.

- Coordinate with AI Hub and Enterprise IT environment management,



following company architecture standards – RAG systems, agentic workflows, multi‑agentic architectures.

- Ensure every solution follows the full validation path – Design, UAT and Certification Gateways – before going live.

- Embed quality and documentation into every build – document each solution thoroughly including architecture decisions, connector configuration, prompt design and known limitations.

- Build solutions that are designed to scale and be reused across capabilities where possible.

- Contribute to DCR’s library of templates, reusable components and prompt patterns.

- Contribute to the DCR Low‑Code Makers community – share what you learn, tricks, shortcuts and patterns that work.

- Help shape DCR’s low‑code standards, best practices and governance guidelines as they mature.

- Keep your Microsoft Copilot Studio certific

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