Posted 16 days ago
Description
Microsoft AI Product Owner / Solution Architect
A market-leading Microsoft partner at the cutting edge of AI, ERP, Data and Manufacturing technology is building out its AI capability and is seeking a Microsoft AI Product Owner / Solution Architect to own the end-to-end lifecycle of AI-enabled solutions.
This role is for someone who thrives on small, rapid, incremental steps — delivering value early, learning fast, and continuously improving solutions while ensuring quality, consistency, and responsible use.
The Opportunity
You’ll sit at the intersection of AI product ownership, Microsoft architecture, and real-world customer problems.
What This Role Will Actually Do
Own the iterative improvement cycle for AI-enabled solutions, driving continuous refinement and uplift
Design and apply patterns for high-velocity solution iteration, incorporating lessons from deployed technologies
Capture feedback from deployment, testing, and customer usage, and translate it into meaningful product and architectural improvements
Take responsibility for testing, QA, and validation feedback, ensuring solution outputs are:
Consistent
Fit for purpose
Not open to misuse
Ensure AI solutions are built and evolved with Responsible AI principles in mind
Shape and validate customer enablement assets, ensuring they clearly explain:
The problem being solved
How the solution works
How value is delivered in practice
Work closely with sales, delivery, and technical teams to ensure solutions are commercially viable, scalable, and supportable
You’ll design and evolve solutions across the Microsoft ecosystem, including:
Dynamics 365 (ERP / CRM, where relevant)
Agentic AI solutions, including:
AI agents embedded into business workflows
Power Platform (Power Apps, Power Automate)
Ideal Background & Experience Core Experience
Demonstrated ability to capture learning from real-world use and steer solution iterations accordingly
Experience owning solutions beyond initial delivery — including improvement, quality, and enablement
Strong product mindset with the ability to balance speed, quality, and risk
AI & Data Experience
Hands-on or architectural experience with agentic AI development and deployment
Experience working with Microsoft Copilot technologies (M365 Copilot, Copilot Studio)
Practical understanding of how AI behaves in production environments — not just theory
Ways You Might Describe Yourself
AI Product Owner
Microsoft Solution Architect
AI / Data Architect with product responsibility
Technical Product Manager with deep Microsoft expertise
This Role Is Not
A research-only AI role
A one-off PoC or innovation lab role with no ownership
What Success Looks Like (6–12 Months)
A robust, documented process for capturing product feedback and incorporating it into solution iterations
AI solutions that improve over time through structured learning, testing, and validation
Predictable, high-quality outputs that customers trust and understand
Clear enablement approaches that help customers adopt and realise value quickly
A growing portfolio of AI-enabled solutions that can be taken confidently to market
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