Staff Enterprise AI Engineer - Agentic Workflows & Productivity
Tasks
- Build and operate cost effective AI infrastructure
- Build cross platform interoperable agents
- Build reference agents RAG pipelines integrations and MCP connectors
- Debug non deterministic retrieval and generation behavior
- Design and deliver agent factory patterns templates guardrails
- Enable user adoption of AI capabilities
- Establish evaluation quality and monitoring for agent workflows
- Lead design and build agent workflows across PDLC
- Lead technical strategy standards patterns and guardrails for agentic development
- Mentor engineers through code reviews pairing and design reviews
- Own enterprise AI platform architecture and rollout
- Stand up and harden platform foundations
- Steer external delivery partners for scope quality and timelines
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Workflows | CI/CD | Cost Management | Gemini | GitHub | Google Cloud | IAM | Identity Federation | Language Models | Large Language Models | Machine Learning | Model Tiering | Model routing | Multi-model | Multi-model routing | OAuth | Observability | Prompt engineering | Prompt evaluation | Python | Retrieval-Augmented Generation | Security Compliance | Single Sign-On | Vertex AI
Education
N/A
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