AI/ML Consulting Manager

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

We are hiring an AI/ML Consulting Manager for our Frontier Engineering team in Australia and New Zealand. Our team within Frontier Engineering helps customers take agents, machine learning models, and full stack applications from ideation to production and beyond, using Snowflake and its partner ecosystem.

As an AI/ML Consulting Manager at Snowflake, you will:

• Lead, coach, and develop a team of technical architects across ANZ, setting clear expectations, supporting career growth, providing performance feedback, and building a collaborative team that shares expertise.
• Serve as a billable technical lead and delivery advisor across customer engagements, achieving a utilisation target through architecture guidance, technical reviews, project oversight, and customer advisory work.
• Own successful delivery of engagements by Snowflake architects and partner resources.
• Guide customers and delivery teams from problem definition and solution design through development, evaluation, deployment, and operational handover for AI agents and generative AI applications.
• Build trusted customer relationships through technical credibility, clear communication, and executive presence.
• Coordinate team capacity and engagement assignments with delivery stakeholders, balancing customer commitments, technical fit, billable delivery, and time for coaching and professional development.
• Review solution designs and delivery quality, including grounding, safe tool use, security, governance, evaluation, and observability.
• Partner with Product Management, Engineering, and the wider Frontier Engineering organisation on planning, delivery dependencies, and customer feedback.

Our ideal AI/ML Consulting Manager will have:

• 8+ years of relevant experience preferred in customer-facing technical consulting, solution architecture, or AI/ML delivery.
• Experience managing and developing technical professionals.
• Experience taking accountability for customer outcomes across internal and partner delivery teams.
• A thorough understanding of the generative AI application development lifecycle.
• Strong understanding of production practices for LLM applications and AI agents.
• Cloud architecture knowledge and experience with at least one public cloud platform.
• A practical technical foundation in Python, APIs, and frameworks for building LLM applications and AI agents.
• Clear communication with technical and executive audiences.

Bonus points for the following:

• Experience guiding delivery of generative AI applications and AI agents on Snowflake.
• Experience improving consulting delivery through reusable architecture patterns.
• Experience with agent orchestration frameworks.
• Industry expertise in areas such as financial services, retail, or manufacturing.