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Snowflake is hiring an AI/ML Consulting Manager for its Frontier Engineering team in Australia and New Zealand. This is a customer-facing leadership role where you will lead a team of technical architects and oversee partner resources delivering AI/ML projects on Snowflake's behalf. You will guide architecture decisions, assess delivery quality, and help teams resolve complex challenges while maintaining a utilisation target primarily through technical leadership and project oversight.
Key responsibilities include:
- Lead, coach, and develop a team of technical architects across ANZ, setting expectations, supporting career growth, and building a collaborative team that shares expertise.
- Serve as a billable technical lead and delivery advisor across customer engagements, achieving utilisation targets through architecture guidance, technical reviews, project oversight, and customer advisory work.
- Own successful delivery of engagements by Snowflake architects and partner resources, translating customer requirements into scoped engineering work, clear priorities, and measurable acceptance criteria.
- Guide customers and delivery teams through the full lifecycle of AI agents and generative AI applications, from problem definition through deployment and operational handover, including RAG systems and enterprise tool integration.
- Build trusted customer relationships through technical credibility and executive presence, coordinating across stakeholders and serving as the manager-level escalation owner.
- Coordinate team capacity and engagement assignments, balancing customer commitments, technical fit, billable delivery, and time for coaching.
- Review solution designs and delivery quality, including grounding, safe tool use, security, governance, evaluation, and observability. Guide teams in prioritising technical debt remediation.
- Partner with Product Management and Engineering on planning, delivery dependencies, and customer feedback to inform product priorities and reusable delivery practices.
- Travel to work with customers on-site up to 25% of the time.
Requirements:
- 8+ years of relevant experience in customer-facing technical consulting, solution architecture, or AI/ML delivery, with demonstrated responsibility for leading complex enterprise engagements.
- Experience managing and developing technical professionals, including coaching, performance management, and career development.
- Experience taking accountability for customer outcomes across internal and partner delivery teams, translating customer needs into actionable engineering plans, and resolving escalations.
- Thorough understanding of the generative AI application development lifecycle, including use case framing, model selection, prompt and context design, agent orchestration, tool integration, and evaluation.
- Strong understanding of production practices for LLM applications and AI agents, including evaluation and regression testing, deployment, observability, guardrails, and reliability.
- Cloud architecture knowledge and experience with at least one public cloud platform (AWS, Azure, or Google Cloud).
- Practical technical foundation in Python, APIs, and frameworks for building LLM applications and AI agents, with design and code-review judgement to coach architects and recognise technical debt.
- Clear communication with technical and executive audiences, sound judgement in managing customer expectations, and a degree in computer science, engineering, mathematics, or related field (or equivalent experience).
Bonus qualifications include experience with Snowflake's generative AI applications and AI agents, improving consulting delivery through reusable patterns, agent orchestration frameworks, retrieval and vector search, evaluation tools, and industry expertise in financial services, retail, or manufacturing.
