About the role
TL;DR
Set technical direction for complex GenAI and agentic systems.
- •As a ML Architect, you set the technical direction for our most complex Generative AI work and are hands-on building it.
- •You elevate engineers around you and partner directly with client leadership.
- •Key Responsibilities Set technical direction for complex GenAI and agentic systems.
- •Build at the frontier, hands-on, using Python on Google Cloud.
- •Engineer for production, applying MLOps discipline.
- •Lead multi-step reasoning at scale with agentic workflows.
- •Advise clients and shape deals, working directly with client leadership.
- •Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 12+ years in software / AI / ML engineering.
- •Proven track record of deploying GenAI and/or agentic products to production environments.
- •Experience with classic machine learning (neural nets, training, tuning).
- •Senior client-facing experience.
Required skills
PythonGoogle CloudVertex AILangChain
Nice-to-have skills
NLPLLMsMLflowKubeflowSageMakerONNXJAX
Domain expertise
ai
Tech stack
PythonGoogle CloudVertex AILangChain
