AI/ML Consulting Manager

SnowflakeThe RocksHybridFull-time2 weeks ago

Snowflake is hiring an AI/ML Consulting Manager for its Frontier Engineering team in Australia and New Zealand. The role involves leading a team of technical architects, overseeing partner resources, and ensuring successful delivery of AI/ML and generative AI projects for customers. Requires 8+ years of experience in customer-facing technical consulting or AI/ML delivery, with strong leadership and technical depth in cloud architecture and LLM applications.

What you'll do

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. Partner with customers and go-to-market teams to translate customer requirements into scoped engineering work, clear priorities, delivery milestones, and measurable acceptance criteria, balancing technical trade-offs with customer outcomes.
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, including retrieval-augmented generation and integration with enterprise tools and workflows.
Build trusted customer relationships through technical credibility, clear communication, and executive presence. Coordinate across customer stakeholders, project managers, architects, and partners; manage expectations, raise schedule and reliability risks early, and act as the manager-level escalation owner, de-escalating issues and driving resolution and follow-through.
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. Understand technical debt, including code health, test gaps, regressions, and support burden, and guide teams in prioritising remediation alongside new capabilities, with clear ownership and customer handover.
Partner with Product Management, Engineering, and the wider Frontier Engineering organisation on planning, delivery dependencies, and customer feedback, creating opportunities for field insights to inform product priorities and reusable delivery practices. Travel to work with customers on-site up to 25% of the time.

What you need

Must-have

PythonAPIsAWSAzureGoogle CloudSnowflakeLLM applicationsAI agents

Nice-to-have

agent orchestration frameworksretrievalvector searchevaluation toolsdata sciencemachine learning

Soft skills

leadershipcoachingcommunicationexecutive presencecollaborationproblem solvingcustomer relationship managementde-escalation

AI/MLConsultingManagementSnowflakeGenerative AICloudAustraliaHybridFull-time

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need