Senior Forward-Deployed AI Engineer (Build & Deploy Lead) at Calliere
New York, NY
$250,000–$500,000
Jul 13, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A senior forward-deployed engineering role in which the hire embeds directly inside portfolio companies to diagnose operational problems and build production AI systems that address them — from initial discovery through deployment. The position involves end-to-end ownership of AI-powered tooling (retrieval, grounding, guardrails, integrations), architectural decision-making, and mentoring junior engineers on the engagement pod. It suits an experienced engineer with a client-facing background who is comfortable operating in ambiguous, high-stakes environments.
Senior level · 5+ years · National
“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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
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 (4)
The role is titled 'senior FDEr' — Forward-Deployed Engineer — a client-embedded technical role that blends consulting, software architecture, and AI system delivery. The primary day-to-day work is architecting and shipping production AI systems inside portfolio companies, which maps most naturally to Software Developers (15-1252); 15-1299 (Computer Occupations, All Other) is noted as a runner-up given the unusual hybrid consulting/FDE framing.
Compensation is described qualitatively (base + platform equity + studio equity + capital participation) with no figures given; no comp fields can be populated.
The 'Nice to have' section lists: prior forward-deployed engineering experience at a technical consultancy, PE/portfolio company exposure, mentoring/technical leadership experience, enterprise systems familiarity (CRM/ERP/ITSM/HRIS), and translating SME domain knowledge into product requirements. These are all marked preferred. CRM is emitted as a single skill with ERP/ITSM/HRIS as alternatives since the JD treats them as a family of interchangeable enterprise system types.
The requirements section names no specific named technologies, frameworks, or platforms beyond the AI workflow concepts (prompting, retrieval/grounding, model/provider selection, guardrails). Skills are extracted at the most concrete canonical level the JD supports; generic concepts like 'software engineering fundamentals' and 'ambiguity ownership' are omitted per extraction rules.
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