Lead AI Engineer

veracityinsurance-careers; Pleasant Grove (UT); Hybrid; USD 200,000 - 220,000; Full time

Benefits offered by this job

Health, dental, and vision plans

4 weeks of Paid Time Off

10 paid company holidays

Job summary

Veracity seeks a Lead AI Engineer to be the organization’s foremost technical authority on AI strategy, architecture, and adoption. This role shapes how AI is built and scaled for a nationwide, customer-facing insurance platform, with a focus on governance, guardrails, and efficient AI-powered features.

You will work across engineering, product, and business leadership to define standards, drive AI-enabled outcomes, and ensure scalable, cost-efficient solutions in production.

Qualifications

• 5+ years of software engineering with production AI/ML experience.
• 2+ years building production LLM/GenAI and agentic systems.
• Experience making build-vs-buy decisions at scale.
• Proficiency in Python and the GenAI stack.
• Strong written and verbal communication skills.

Responsibilities

• Define AI engineering roadmap and architecture standards.
• Lead build-vs-buy decisions and articulations for AI systems.
• Evaluate AI tools, frameworks, and models for leadership.
• Serve as escalation point for complex AI/ML designs.
• Collaborate with product and engineering to align AI with outcomes.

Skills

Python

GenAI

LLM/Agentic systems

Architectural decision making

Communication skills

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

Model-provider SDKs

Vector databases

Evaluation tooling

Job description

At Veracity, we aim to be a different kind of insurance partner – one that is free from outside investors, venture capital, or the pressures of a corporate parent.

Ours is a culture of empowerment – one that believes in effort, results, and accountability. We believe that transparency fosters trust, trust fosters growth, and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.

We answer only to the small business owners we serve, and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-in-class insurance policies.

We’re growing fast and want you to be a part of it!

We are seeking a Lead AI Engineer to serve as our organization’s foremost technical authority on artificial intelligence strategy, architecture, and adoption. At Veracity, that means shaping how AI is built and scaled across a customer-facing digital insurance platform serving small business owners nationwide – from how we surface coverage recommendations to how we prepare for a world where AI agents increasingly research and purchase insurance on behalf of human customers.

This is not a people management role – it is a systems leadership role. You will act as the connective tissue between engineering, product, and business leadership, making and owning the high-stakes technical decisions: build vs. buy, platform selection, architectural patterns, and AI tooling standards. You will bring structure and discipline to our AI practice while operating with the urgency and adaptability of a fast-moving, independent company.

Key Responsibilities

Technical Strategy & Direction

• 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

Enterprise Systems & Scaling

• 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

Cross-Functional Collaboration

• Partner closely with Product and Engineering leadership to align AI capabilities with business outcomes
• Receive operational support to help initiate and coordinate cross-functional engagement, allowing you to stay focused on technical leadership and decision-making
• Provide clear guidance on resource allocation – who owns what, who should be engaged, and in what sequence
• Translate complex technical concepts for non-technical audiences, including executives and business stakeholders
• Challenge direction constructively and push back on approaches that compromise long-term system health

AI Coding & Process Transformation

• Champion and introduce AI-assisted coding practices and developer tooling across the engineering organization
• Define standards for responsible AI development including guardrails, evaluation frameworks, and security considerations
• Drive continuous improvement in how the organization builds and ships AI-powered features

Requirements and Qualifications

Required

• 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 – 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
• 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
• Experience making and communicating build vs. buy vs. integrate decisions at an organizational level
• 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

Preferred

• 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
• Experience in a technical lead or principal engineer role with broad organizational influence
• Background working closely with product engineering teams in a dual-track agile model
• Experience with AI cost management, observability, and governance frameworks

Perks

• Health, dental, and vision plans
• Amazing work-life balance with 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

Why Veracity?

Here at Veracity, you’ll be part of a team of trailblazers and visionaries. We’re not just revolutionizing the way people “do” insurance; we are creating a whole new paradigm. Here, you will experience a vibrant and inclusive workplace where your ideas matter! With us, you have a chance to:

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

Compensation Range:

Compensation Range: $200k/yr - $220k/yr + 10% Bonus

We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants, regardless of race, color, religion, sex, national origin, disability, or any other legally protected characteristics.

If you need accommodation, please let us know during the interview process.