Lead AI Engineer at InsCipher
$170,000–$215,000from the description
Jun 30, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role responsible for setting AI architecture standards and technical strategy across a digital insurance platform. The work centers on designing and scaling production LLM and agentic systems, establishing LLMOps practices, and guiding build-vs-buy decisions — while bridging engineering and product leadership. Suited to an experienced engineer with a strong background in GenAI systems who prefers deep technical ownership over people management.
Staff level · 8+ years · Remote · Full-time
“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 640 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 130–960
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
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 title 'Lead AI Engineer' carries no standard seniority level word, so the title states no level. However, the actual scope — org-wide AI architecture authority, build-vs-buy decision ownership, cross-functional technical leadership, and LLMOps standards-setting — clearly exceeds Senior and maps to Staff.
SOC classification is a genuine judgement call. The role is primarily about AI/ML architecture and strategy rather than general software development, making 15-1299 (Computer Occupations, All Other) the best fit for an AI/ML engineering lead; 15-1252 (Software Developers) is a close runner-up given the hands-on production system design and coding expectations.
Degree requirement is None: the JD explicitly accepts 'equivalent practical experience' in lieu of a Bachelor's or Master's degree.
The 2-year minimum for LLM/GenAI and agentic systems is stated at the role level tied to a specific technology domain; it is captured on the relevant skills rather than as a separate the overall years minimum figure (the overall years minimum reflects the 8+ years of overall software engineering experience).
LangChain and LlamaIndex are listed as interchangeable examples ('e.g. LangChain, LlamaIndex, or equivalents'); they are combined into one skill with LlamaIndex as an alternative.
RAG, vector databases (preferred context), semantic search, AI cost management, observability, and governance frameworks appear under the 'Preferred' section and are marked accordingly.
Vector databases also appear in the required section ('vector databases' as part of the GenAI stack); the preferred mention refers specifically to RAG + semantic search at scale, which is treated as a distinct preferred signal.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI cost management.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.