Lead AI Engineer

🔥 3 minutes ago

⛷️ Utah – Remote

⛷️ Utah – Remote

💵 $200k - $220k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Veracity Insurance Solutions, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Veracity Insurance Solutions, LLC is a national excess & surplus (E&S) wholesale brokerage and managing general agent that provides in-house underwriting and binding authority with A-rated carriers. The firm specializes in product liability, general liability, professional liability and property insurance across niche sectors (beauty & cosmetics, vitamins & supplements, e-cigarettes/vape, CBD/hemp, sporting goods, consumer and industrial products) and offers program management, risk purchasing group (RPG) management, surplus lines filing, licensing and compliance services for retail agents and businesses nationwide. Veracity is licensed in all 50 states and emphasizes fast turnaround, tailored specialty programs, and broker-focused distribution.

📋 Description

• Define the AI engineering roadmap and architecture standards across the organization • Lead build vs. buy vs. integrate decisions for AI systems and platforms and articulate the rationale • Evaluate emerging tools, frameworks, and models and provide recommendations to leadership • Serve as the ultimate technical escalation point for complex AI/ML system design challenges • Architect AI solutions for Veracity's enterprise customer-facing digital insurance platform • Design systems for scale, reliability, and cost-efficiency in production • Establish LLMOps practices, including evaluation and regression suites, cost and quality observability, versioned prompts and configurations, staged rollout and rollback, and production guardrails • Ensure AI systems integrate with existing product and engineering infrastructure • Partner with Product and Engineering leadership to align AI capabilities with business outcomes • Provide technical guidance on resource allocation and cross-functional engagement • Translate complex technical concepts for executives and business stakeholders • Challenge approaches that compromise long-term system health • Champion AI-assisted coding practices and developer tooling across engineering • Define standards for responsible AI development, guardrails, evaluation frameworks, and security • Drive continuous improvement in building and shipping AI-powered features

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience • 5+ years of software engineering experience with a meaningful portion in production AI/ML or LLM/GenAI systems • 2+ years building production LLM/GenAI and agentic systems • Fluency with AI-assisted coding tooling and judgment to set organization-wide standards, evaluations, and guardrails for AI-generated code • Demonstrated track record of rebuilding an existing business process with AI at the core within an existing enterprise environment, shipped to production and outcome ownership • Production experience with LLM/GenAI and agentic systems, including agent orchestration, tool calling, RAG, and structured outputs • Sound judgment about appropriate and inappropriate AI use in insurance; policy binding, money movement, and compliance flows must be deterministic, auditable, and human-governed • Experience making and communicating build vs. buy vs. integrate decisions at an organizational level • Proficiency in Python and the modern GenAI application stack, including agent and orchestration frameworks, model-provider SDKs, vector databases, and evaluation tooling • Exceptional written and verbal communication skills • Preferred: direct evidence of legacy-process redesign with latitude to alter underlying platform architecture • Preferred: enterprise or regulated-domain experience, ideally insurance or financial services • Preferred: technical lead or principal engineer experience with broad organizational influence • Preferred: experience working closely with product engineering teams in a dual-track agile model • Preferred: experience with AI cost management, observability, and governance frameworks

🏖️ Benefits

• Health, dental, and vision plans • 4 weeks of Paid Time Off • 10 Paid Company Holidays with 2 floating holidays • 401K Programs with employer match • Personal assistance programs for support in a healthy personal and work life • Engage in groundbreaking projects that are reshaping the insurance landscape • Collaborate with a group of dedicated, like-minded professionals • Experience a culture that prioritizes growth and development • 10% Bonus