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mlops data pipelines ai governance llms agent frameworks📋 Description
- Own internal AI reference architecture for LLMs and agent AI.
- Design and scale AI tools, agents, and capabilities for employees.
- Set engineering standards and guardrails for AI projects.
- Lead the 2–3 year AI technology roadmap.
- Mentor engineers and serve as technical escalation point.
- Ensure production-ready, secure AI deployments.
🎯 Requirements
- 7+ years software or AI/ML engineering experience.
- 3+ years in senior staff/principal roles.
- Deep expertise in LLMs, RAG, agent frameworks, MLOps.
- Proficient in Python and cloud AI platforms (Vertex AI, Azure AI, SageMaker).
- Strong communication; translate tech to business value.
- Familiar with security, compliance, and enterprise SaaS.
🎁 Benefits
- Hybrid work profile with global teams.
- Shape and lead the Enterprise AI COE.
- Cross-functional collaboration across IT, Finance, GTM.
- Commitment to DEIB and professional growth.
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