Lead AI Engineer
Veracity Insurance Solutions
$170,000–$215,000from the description
Jun 30, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role at a small-business insurance platform, responsible for setting the organization's AI architecture strategy and standards rather than managing people. Day-to-day work spans defining LLMOps practices, making build-vs-buy decisions for AI systems, architecting production LLM and agentic features, and bridging engineering and product leadership on AI direction. Suits an experienced engineer with a strong background in shipping production GenAI systems and communicating technical decisions to non-technical stakeholders.
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 380–960
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 (8)
The title 'Lead AI Engineer' carries no standard seniority level word, but the role's scope — org-wide AI architecture authority, build-vs-buy decision ownership, cross-functional technical leadership with no direct reports — maps clearly to Staff-level, not merely Senior.
SOC 15-1299 (Computer Occupations, All Other) is used because this role is primarily an AI/ML systems architect and technical authority; it does not fit cleanly into Software Developers (15-1252) alone, though that is the closest runner-up given the hands-on production engineering requirements.
Degree requirement is marked None: the JD explicitly accepts 'equivalent practical experience' in lieu of a Bachelor's or Master's degree.
The 2+ years figure for LLMs/GenAI/agentic systems is stated at the role level for a specific technology domain; it is captured on the LLMs skill rather than as the overall years minimum (which reflects the 8+ year overall engineering gate).
Agent/orchestration frameworks are listed as 'e.g. LangChain, LlamaIndex, or equivalents' — a substitution qualifier within a required section. LangChain is the primary name, LlamaIndex is in alternatives; the requirement itself is a hard gate.
RAG architectures, vector databases (in the preferred context), semantic search, AI cost management/observability, and governance frameworks all appear under the 'Preferred' section and are marked accordingly. Note that 'vector databases' also appears in the required section (as part of the GenAI stack); the preferred mention of it at scale is additive context.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI governance.
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.