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security gcp mlops llms vertex ai📋 Description
- Lead AI engineering team in India to deliver secure, scalable AI in production.
- Run structured intake for AI opportunities with Product, Commercial, DS and Eng teams in India/UK.
- Architect GenAI/agentic AI on GCP using Vertex AI: models, endpoints, pipelines, vector search.
- Use Azure AI Foundry and agent platforms to design agentic workflows and integrations.
- Design AI agents and multi-step workflows with tool calls and agent-to-agent protocols; ensure security.
- Define DevOps/MLOps for AI: CI/CD, IaC, environment promotion, blue/green releases.
🎯 Requirements
- Strong experience in software/data/ML engineering with hands-on production AI/ML.
- Proven experience leading AI/ML/LLM teams, globally distributed.
- Deep knowledge of GCP Vertex AI: models, endpoints, pipelines, RAG.
- Experience with Azure AI Foundry or similar; familiarity with a modern agent framework.
- Solid understanding of LLMs and foundation models; risks like hallucinations.
- Hands-on design of AI agents/workflows; tool integrations; reliability.
🎁 Benefits
- Flexible hours and birthday off.
- Competitive rewards package.
- Work with cutting-edge tech across global teams.
- Inclusive culture with active employee networks.
- Flexible working options and supportive environment.
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