Lead AI Engineer - Global Infra

Overview

Lead AI Engineer to design, build, and operate production-grade GenAI and agentic AI solutions from the India hub. May also lead a team of AI engineers and ensure secure, scalable, observable AI delivery with measurable value.

What you'll do

• Design AI agents and multi-step agentic workflows including tool calling and agent-to-agent protocols.
• Ensure security, privacy, and governance across AI solutions for sensitive data, access, secrets, and safety mechanisms.
• Define DevOps/MLOps practices for AI, including CI/CD, infrastructure as code, and release strategies.
• Implement observability for AI systems using tracing, logging, metrics, dashboards, and alerts.
• Establish AI testing and evaluation strategies including online/offline evaluation and red-teaming.
• Lead hands-on engineering by reviewing designs and code, unblocking complex problems, and setting standards.
• Coach, mentor, and develop AI engineers.

What you'll need

• Strong hands-on experience building and operating AI/ML or LLM-based solutions in production.
• Experience leading AI/ML/LLM engineering teams or acting as a senior technical lead.
• Deep practical knowledge of GCP and Vertex AI for production workloads.
• Familiarity with Microsoft AI/Azure AI Foundry or similar platforms and an agentic AI framework.
• Solid understanding of LLMs and foundation-model concepts including RAG and tool calling risks.
• Hands-on experience building AI agents and integrating them with tools/APIs while managing reliability, safety, and observability.
• Security/governance/compliance knowledge for sensitive data, RBAC, and auditability.