Hiring: Lead AI Engineer Company: Veracity Insurance Solutions, LLC Location: Pleasant Grove, UT Job Posted Time: 2026-09-10 10:21:46 Target Skills & Keywords : AI, Agile, Design System, LLM, Python, RAG, Systems Design About the job Experience: •5+ years of software engineering experience with a meaningful portion in production AI/ML or LLM/GenAI systems – strong judgment and vision at the 5–6 year mark will not be screened out on tenure alone •2+ years building production LLM/GenAI and agentic systems, plus fluency with AI-assisted coding tooling and the judgment to set org-wide standards, evals, and guardrails for AI-generated code Required Skills: •Define the AI engineering roadmap and architecture standards across the organization •Lead build vs. buy vs. integrate decision-making for AI systems and platforms – and be accountable for articulating how you arrived at those decisions •Evaluate emerging tools, frameworks, and models; provide clear, defensible recommendations to leadership •Serve as the ultimate technical escalation point for complex AI/ML system design challenges •Architect AI solutions for our enterprise platform – which is actively being upgraded and requires someone comfortable working across both the process layer and the underlying platform architecture as a normal part of the role, not just layering AI on top of stable infrastructure •Design systems for scale, reliability, and cost-efficiency in production environments •Establish LLMOps practices – evaluation and regression suites for LLM-powered features, cost and quality observability, versioned prompts and configs with staged rollout and rollback, and production guardrails •Ensure AI systems integrate cleanly with existing product and engineering infrastructure Qualifications: •Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience •Demonstrated track record of taking an existing business process apart and rebuilding it with AI at the core within an existing enterprise environment – shipped to production and owned the outcome •Production experience with LLM/GenAI and agentic systems – agent orchestration, tool calling, RAG, structured outputs – with the fluency to set org-wide standards, evals, and guardrails for AI-generated code •Sound judgment about where AI belongs and where it must not – comfortable with probabilistic agents for customer-facing and research tasks, while treating policy binding, money movement, and compliance flows as deterministic, auditable, and human-governed; this framing is non-negotiable in an insurance context •Proficiency in Python and the modern GenAI application stack – agent and orchestration frameworks, model-provider SDKs, vector databases, and evaluation tooling; screened for fluency with the stack generally, not a specific checklist of tools •Exceptional written and verbal communication skills – you can write a crisp architecture decision record and present it to a board-level audience •Direct evidence of legacy-process redesign with real latitude to alter underlying platform architecture – not just process work layered on top of stable infrastructure •Enterprise or regulated-domain experience, ideally in a business context closer to insurance or financial services •Background working closely with product engineering teams in a dual-track agile model Compensation: •$200,000 - $220,000 / year •Health, dental, and vision plans Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!