Forward Deployed Engineer, Gen AI at Bounteous
New York, NY
—
Jul 20, 2026
New York, NY
Jul 23, 2026
What this job asks for AI summary
An embedded, hands-on engineering role placed directly within a Fixed Income investment banking team in New York. The engineer designs, builds, and ships production-grade generative AI applications — including agentic workflows, retrieval-augmented generation pipelines, and document intelligence tools — to automate and improve front-office and operational workflows. The role suits a software engineer with practical LLM development experience who is equally comfortable writing Python and engaging senior business stakeholders in a regulated financial environment.
Senior level · New York-Newark-Jersey City, NY-NJ-PA
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,700 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (software developers). range 1,400–4,200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $170,499 (middle half $133,523–$210,499).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role is titled 'Forward Deployed Engineer, Generative AI' with no seniority level in the title, so advertised seniority is Unspecified. However, the scope — embedded client-facing delivery in a regulated investment bank, leading discovery with senior stakeholders, and driving production AI adoption — supports a Senior classification.
The alternative occupation code 15-2051 (Data Scientists) is a genuine runner-up given the heavy emphasis on LLMs, embeddings, RAG, and evaluation frameworks, but the primary framing is software engineering: writing code, building production applications, and deploying agentic pipelines.
The degree requirement lists a Bachelor's in CS, Engineering, Mathematics, Finance, or a related field 'or equivalent practical experience,' so no formal degree is hard-gated.
OpenAI API and Claude Agent SDK are presented as interchangeable examples ('OpenAI or Claude Agent SDK and other agentic frameworks'); Claude Agent SDK is captured as an alternative.
MCP (Model Context Protocol) integrations are mentioned in the responsibilities section as part of the technical stack rather than under a formal requirements heading, so it is marked preferred.
RAG, vector databases, embeddings, semantic search, AI evaluation frameworks, cloud platforms, and model risk management all appear under 'Preferred qualifications' and are marked accordingly.
No compensation range is stated in the posting.
The role is explicitly on-site in New York ('sit close to the business,' 'embed with banks Fixed Income teams in New York'), so remote is false.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): model risk management.
Read the full posting
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