Microsoft AI Product Owner / Solution Architect

Saasnine; City of Melbourne; Presencial; AUD 150 000 - 210 000; Tempo integral

Resumo da oferta

Saasnine is seeking a Microsoft AI Product Owner / Solution Architect to own the end-to-end lifecycle of AI-enabled solutions, working at the intersection of AI product ownership and Microsoft architecture. The role emphasizes fast iteration, tight feedback loops, and responsible AI, with collaboration across sales, delivery and technical teams to ensure scalable, commercially viable outcomes.

Ideal candidates will have hands-on or architectural experience with agentic AI, and familiarity with

Qualificações

• Experience owning AI-enabled solutions from inception through iteration.
• Strong product mindset balancing speed, quality and risk.
• Ability to translate customer feedback into architectural improvements.

Responsabilidades

• Own iterative improvement cycle for AI-enabled solutions and uplift.
• Design patterns for high-velocity solution iteration.
• Capture feedback and translate into product and architectural improvements.
• Ensure AI outputs are consistent, fit for purpose and responsibly used.
• Shape customer enablement assets and explain value delivery.
• Collaborate with sales, delivery, and technical teams for viable, scalable solutions.

Conhecimentos

AI product ownership

Microsoft architecture

Product mindset

Ferramentas

Dynamics 365

Power Platform

Copilot technologies

Copilot Studio

Descrição da oferta de emprego

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.

Rather than delivering “big bang” solutions, this role focuses on:

• Fast iteration
• Tight feedback loops
• Predictable and trustworthy AI outcomes
• Clear customer understanding and enablement

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

We’re partnering with a high-performing Microsoft partner that is expanding its AI and data engineering capability across ANZ. They’re looking…