Logo for Veracity Insurance Solutions, LLC

Lead AI Engineer

Role overview

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
  • 8+ years of software engineering experience with mastery in production systems
  • 2+ years building production LLM/GenAI and agentic systems
  • Proficiency in Python and the modern GenAI application stack

Responsibilities

  • Define the AI engineering roadmap and architecture standards
  • Lead build vs. buy vs. integrate decision-making for AI systems and platforms
  • Architect AI solutions for the enterprise platform
  • Champion and introduce AI-assisted coding practices and developer tooling

About the company

Veracity Insurance Solutions, LLC logo

Veracity Insurance Solutions, LLC

Insurance Brokerage & Agencies

Veracity Insurance Solutions is an international insurance brokerage firm specializing in the placement of Programs, General Liability, and Product Liability Insurance. The company was established on the basic principle of integrity in insurance, and that principle continues to permeate our business today. Innovation and knowledge are the cornerstones of Veracity’s business practices, giving our customers a leg up in what can be a confusing and hassle-filled industry. With in-house underwriting authority and access to several key wholesale brokerage markets, Veracity stands out with its ability to customize insurance policies for all business sizes. This ability doesn’t stop at the oceans – Veracity has access to both domestic and foreign markets, opening doors that lead to only the best coverage options. Veracity prides itself on providing the highest level of customer service to everyone they work with. In over 30 years of experience, we have never forgotten the importance of the human side of doing business in this fast-paced industry.

Company details

IndustryInsurance Brokerage & Agencies
Company size11 - 50

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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 has already been substantially rebuilt and requires thoughtful evolution, not ground-up construction
  • 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/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

What This Role Is Not

This is not a people manager role. You will not carry direct reports or be evaluated on team headcount. You may provide technical direction to contributors, but managing people is the exception, not the expectation.

Requirements and Qualifications

Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
  • 8+ years of software engineering experience, with demonstrated mastery designing and shipping production systems where correctness, reliability, and auditability matter
  • 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
  • Sound judgment about where AI belongs and where it must not – comfortable with probabilistic agents for customer-facing and research tasks, while keeping policy binding, money movement, and compliance flows 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 – agent/orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalents), model-provider SDKs, vector databases, and evaluation tooling
  • Exceptional written and verbal communication skills – you can write a crisp architecture decision record and present it to a board-level audience

Preferred

  • 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
  • Familiarity with RAG architectures, vector databases, and semantic search at scale
  • 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: $170k/yr - $215k/yr

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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