> Markdown version of [/jobs/ext/4555692-senior-forward-deployed-engineer-nyc-or-sf](https://www.wearedevelopers.com/jobs/ext/4555692-senior-forward-deployed-engineer-nyc-or-sf). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Forward Deployed Engineer [NYC or SF] - **Company:** Concurrence Corp. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $200,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Deployment, Large Language Models, Machine Learning Operations - **Published:** November 4, 2026 - **Apply:** https://www.thejobnetwork.com/job/6ad6c5ec-4145-4490-ba0a-2211e74082a8/senior-forward-deployed-engineer-nyc-or-sf ## About the Role * You've broken hard, ambiguous problems into work other engineers could own and deliver * You have real experience with LLMs and agent systems, or the depth to get there fast * You have the judgment to make tradeoffs and the standing to say no when something doesn't hold up * You lead well, whether through architecture, through people, or both * You're low ego, direct, and hold yourself and your team to a high bar * You can work on site in New York City or San Francisco Nice to have * Experience in a regulated or high-reliability domain (healthcare, finance, legal) * Experience shipping production AI or ML systems * Background in customer-facing or forward-deployed engineering ## Description As an Senior Forward Deployed Engineer at Concurrence, you'll lead the technical delivery of customer deployments end to end. You'll set the architecture, break big ambiguous problems into work a team can own, commit the timelines, and hold the bar for what ships. It's a hands-on role at the intersection of engineering, product, and the customer. What you'll do * Leading an AI deployment for a major healthcare customer, from first conversation to production * Turning an ambiguous customer need into a clear technical plan with owners and timelines * Making the calls on tradeoffs: what to build now, what to reuse, and what to push back on * Working directly with customers to keep scope, timelines, and quality honest