Forward Deployed Engineer at OpenAI

OpenAI has not yet posted a role called “Forward Deployed Engineer” in India, but it does hire for the same job. Its India customer-engineering roles are Applied AI Engineer, Applied AI Architect and Partner AI Deployment Engineer, based in New Delhi, Mumbai, Bengaluru or remote India. They sit close to customers, write production code and get OpenAI’s models working inside enterprise systems. That is the FDE job in everything but name. Openings are rare, senior-leaning and close quickly.

What the FDE does at OpenAI

OpenAI’s Forward Deployed Engineering team, in its own Tokyo posting, describes its work as turning research breakthroughs into production systems with customers. That FDE owns discovery, technical scoping, system design, the build and the production rollout. It also writes reusable tools and playbooks and feeds field lessons back to Research and Product. Success is judged on production adoption and workflow impact, not on demos.

The India roles cover the same ground. According to Analytics India Magazine (August 2026), the Applied AI Engineer and Applied AI Architect roles in Delhi and Mumbai sit in OpenAI’s Technical Success organisation:

• Applied AI Engineer — writes and debugs code, builds evaluation systems, resolves integration problems and makes trade-offs on latency, cost, safety, security and governance.
• Applied AI Architect — takes senior technical ownership of customer accounts across ChatGPT Enterprise, the API, Codex and agentic products.
• Partner AI Deployment Engineer, AWS — according to CareerIndia, enables global and Indian system integrators and ISVs to deploy OpenAI models, working with AWS.

If you are new to the term, our explainer on what a forward deployed engineer is covers the general pattern.

How big is OpenAI’s India team?

Still small. When OpenAI started hiring engineers in India, Storyboard18 (November 2025) reported a “lean team” for the first year, with solutions engineers and architects among the first hires. By 19 October 2026, landed counted 7 India roles out of roughly 680 live OpenAI openings, about 1%. Most were sales and marketing jobs; the technical ones were the Applied AI Architect, its India manager role and the Partner AI Deployment Engineer.

Experience and skills OpenAI asks for

Here is what the sources say about each role:

Three things stand out:

• Production LLM experience is the core. The Tokyo FDE posting asks for experience building or deploying LLM systems, and the India engineer role centres on evals and integrations.
• Trade-off judgement is spelled out. Latency, cost, safety and governance appear in the India role description, so expect interview questions on them.
• Hybrid work. landed reports that the architect and mid-market postings ask for three office days a week, and the architect role offers relocation help.

Pay

OpenAI does not publish pay for India roles; landed found the pay field blank on every India posting it reviewed in October 2026. There is no reliable India benchmark yet:

• Levels.fyi has a single OpenAI India record, an L5 engineer with four years of experience on about ₹56.6 lakh total pay (as reported by landed). One record is not a benchmark.
• US postings give a sense of the level: landed cites $251,000–$278,000 base for an Applied AI Engineer in New York. US pay does not convert directly to Indian offers.

Compare likely ranges for senior FDE roles at other employers on our FDE salary hub.

How to prepare

1. Watch OpenAI’s careers site, not job aggregators. India roles are few and close fast; landed logged nine India roles closing between August and October 2026. Set an alert for India locations and apply only through OpenAI’s own site.
2. Ship one evaluated LLM integration. Build something on the OpenAI API that plugs into a real system (a ticketing tool, a database, a CRM). Write a small eval suite and show how you cut cost or latency while keeping quality. This mirrors the Applied AI Engineer job description.
3. Prepare for long finals. landed, citing OpenAI’s interview guide, says final rounds take 4–6 hours with 4–6 interviewers. Practise coding, a system design that fits an existing customer stack, and a customer scenario. Our FDE interview questions guide has examples of each.
4. Have a governance answer ready. Be ready to explain how you would roll out an agent for an Indian bank or hospital: data access, safety checks and security review.
5. For the partner role, add AWS depth. If you have 8+ years in consulting, the AWS Solutions Architect Professional or ML Specialty certification is named as a plus. For a comparison with another big platform’s FDE team in India, see our Atlassian FDE page.

OpenAI FDE interview: what is publicly known

1. Application: Apply only through OpenAI's own careers site; CareerIndia (Oct 2026) warns readers against unofficial routes. India postings appear and close quickly — landed counted nine India roles closed between August and October 2026, including an Applied AI Engineer post last seen on 15 October.
2. Screens and technical rounds: OpenAI has not published an India-specific format for its Applied AI roles; the early rounds are not publicly reported.
3. Final interviews: According to landed's summary of OpenAI's interview guide, final interviews typically take 4–6 hours with 4–6 interviewers, spread over one or two days.