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 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 infrastructureDesign 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 and 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 featuresRequirements and QualificationsRequiredBachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience5+ 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 alone2+ 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 codeDemonstrated 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 outcomeProduction 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 codeSound 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 contextExperience making and communicating build vs. buy vs. integrate decisions at an organizational levelProficiency 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 toolsExceptional written and verbal communication skills — you can write a crisp architecture decision record and present it to a board-level audiencePreferredDirect evidence of legacy-process redesign with real latitude to alter underlying platform architecture — not just process work layered on top of stable infrastructureEnterprise or regulated-domain experience, ideally in a business context closer to insurance or financial servicesExperience in a technical lead or principal engineer role with broad organizational influenceBackground working closely with product engineering teams in a dual-track agile modelExperience 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:$200k/yr - $220k/yr+ 10% BonusWe 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.
3 days ago