Lead AI Platform Engineer (Hybrid Work Model)

Job Summary

Lead AI Platform Engineer (Hybrid Work Model)

Were hiring a Lead AI Platform Engineer: a lead, hands-on engineer who will champion our AI Development Life Cycle (AIDLC) across engineering teams and design and build core parts of our AI platform, working day to day with our Pune and US AI platform team.

Location: Pune, India

Model of Work: Hybrid

The team owns the Agentic AI Platform and drives AI adoption, including AIDLC, across the engineering departments. We dont hand work off after release: the team builds it, ships it, monitors it, and supports it in production.

This is an individual contributor role, not a team lead or people-management position. You lead through technical depth: owning hard problems, setting a high bar for quality, and helping the engineers around you do their best work.

What You Will Own

You will own technical design and delivery for your areas of the AI platform, and help drive AIDLC adoption across engineering.

• The Agentic AI Platform: the agentic runtime and LLM gateway.
• Shared platform services: a growing set of services, such as a knowledge base built on a vector database.
• AIDLC and AI adoption: helping engineering teams across departments implement AIDLC, AI coding tools, and engineering automation.

Responsibilities

AIDLC and AI adoption

• Make AI-assisted engineering the norm by championing AIDLC, AI coding tools, and engineering automation.
• Help engineering teams across departments implement AIDLC in their own workflows and codebases.

Technical design

• Take on the most complex platform work across the AI platform, Databricks, and shared services.
• Make design and trade-off decisions for your areas.
• Contribute to technical planning with the Pune and US teams.

Hands-on engineering

• Spend time writing, testing, and shipping code across Python, TypeScript, C#, and Elixir codebases.

Engineering quality

• Set a high bar for testing, code review, design documentation, and observability through your own work and reviews.
• Work closely with QA and DevOps so quality is built in, not inspected in.

Production ownership

• Make sure what you ship is deployed safely, monitored, and supported in production.
• Help lead the response when something breaks.

Cross-site collaboration

• Collaborate closely with the OPTI US team by sharing designs, aligning priorities, and keeping work moving across time zones.

• And other duties as assigned.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.