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 ResponsibilitiesTechnical Strategy & DirectionDefine the AI engineering roadmap and architecture standards across the organizationLead build vs. buy vs. integrate decision-making for AI systems and platforms – and be accountable for articulating how you arrived at those decisionsEvaluate emerging tools, frameworks, and models; provide clear, defensible recommendations to leadershipServe as the ultimate technical escalation point for complex AI/ML system design challengesEnterprise Systems & ScalingArchitect AI solutions for our enterprise platform – which has already been substantially rebuilt and requires thoughtful evolution, not ground-up constructionDesign systems for scale, reliability, and cost-efficiency in production environmentsEstablish LLMOps practices – evaluation and regression suites for LLM-powered features, cost and quality observability, versioned prompts/configs with staged rollout and rollback, and production guardrailsEnsure AI systems integrate cleanly with existing product and engineering infrastructureCross-Functional CollaborationPartner closely with Product and Engineering leadership to align AI capabilities with business outcomesReceive operational support to help initiate and coordinate cross-functional engagement, allowing you to stay focused on technical leadership and decision-makingProvide clear guidance on resource allocation – who owns what, who should be engaged, and in what sequenceTranslate complex technical concepts for non-technical audiences, including executives and business stakeholdersChallenge direction constructively and push back on approaches that compromise long-term system healthAI Coding & Process TransformationChampion and introduce AI-assisted coding practices and developer tooling across the engineering organizationDefine standards for responsible AI development including guardrails, evaluation frameworks, and security considerationsDrive continuous improvement in how the organization builds and ships AI-powered featuresWhat This Role Is NotThis 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 QualificationsRequiredBachelor'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 matter2+ 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 codeSound 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-governedExperience making and communicating build vs. buy vs. integrate decisions at an organizational levelProficiency in Python and the modern GenAI application stack – agent/orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalents), model-provider SDKs, vector databases, and evaluation toolingExceptional written and verbal communication skills – you can write a crisp architecture decision record and present it to a board-level audiencePreferredExperience in a technical lead or principal engineer role with broad organizational influenceBackground working closely with product engineering teams in a dual-track agile modelFamiliarity with RAG architectures, vector databases, and semantic search at scaleExperience with AI cost management, observability, and governance frameworksPerksHealth, dental, and vision plansAmazing work-life balance with 4 weeks of Paid Time Off10 Paid Company Holidays with 2 floating holidays401K Programs with employer matchPersonal assistance programs for support in a healthy personal and work lifeWhy 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 landscapeCollaborate with a group of dedicated, like-minded professionalsExperience a culture that prioritizes growth and developmentCompensation Range: $170k/yr - $215k/yr
