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PURE Insurance · 22 hours ago

VP, AI Engineering

United States

Full-time

Remote

Senior Level, Lead/Staff

$225K/yr - $275K/yr

10+ years exp

PURE Insurance is actively investing in its data, analytics, data science, machine learning, and artificial intelligence capabilities. The VP, AI Engineering will establish and lead the enterprise AI/GenAI strategy and execution, overseeing Data Science, AI engineering, and MLOps teams to deliver high-impact solutions.

Building MaterialFinancial ServicesInsuranceReal Estate

Culture & Values

Responsibilities

Lead, grow, and foster a culture of innovation, accountability, safe experimentation, and continuous learning across three core teams: Data Science, MLOps Engineering, and a new AI Engineering team (3 initial hires)

Partner with executive leadership to prioritize and roadmap high-impact AI/GenAI initiatives, balancing pragmatic near-term opportunities with longer-term 'moonshot' innovations

Engage senior leaders to frame business problems, champion transformative possibilities, and ensure AI initiatives align with enterprise priorities

Shape PURE’s long-term philosophy on building vs. buying AI solutions, balancing cost, scalability, speed, and strategic value

Ensure data science and automation approaches are fully leveraged where they are the right solution, recognizing that not every problem requires AI

Collaborate with IT, Technology, Data Engineering, and Analytics Engineering teams to ensure that PURE’s data and source systems can support AI solutions in a scalable and pragmatic way

Lead PURE’s commitment to ethical and responsible AI, ensuring transparency, fairness, and trust in every solution we deliver

Anticipate and navigate evolving regulatory considerations for AI in insurance, ensuring PURE stays ahead of compliance requirements

Work with change management experts to drive enterprise-wide adoption, ensuring AI solutions are understood, trusted, and embedded into workflows that elevate performance

Define and track key performance metrics to measure the business value and ROI delivered by data science and AI initiatives, and communicate results effectively to senior leadership

Foster a sustainable talent pipeline by defining career paths, supporting professional development, and ensuring succession planning across Data Science, AI Engineering, and MLOps/AIOps Engineering teams

Stay at the forefront of emerging AI trends, infuse fresh insights into PURE’s strategy, and represent the company as an industry thought leader

Qualification

AI strategyData ScienceMachine LearningMLOpsPredictive modelingDeep learningNLPComputer visionGenerative AIChange managementTeam leadershipCommunication skillsAdaptability

Required

Bachelor's degree in Computer Science, Mathematics, Engineering, or related field

10+ years of experience in data science, machine learning, and AI, with increasing responsibility over time and at least 3 years in a senior leadership role, including hands-on expertise with predictive modeling, deep learning, NLP, computer vision, or time-series analysis

Experience with generative and agentic AI, including deploying real-world use cases into production

Skilled at leading and mentoring multidisciplinary teams, uniting data scientists, ML/AI engineers, and MLOps engineers to deliver at scale

Proven ability to deliver MVPs quickly, manage technical debt wisely, and scale solutions responsibly

Strong appreciation for organizational change management and the human side of adoption, ensuring that technology enhances workflows rather than causing disruption

Experience making build vs. buy decisions, balancing short-term needs with long-term strategic priorities

Adaptability with technology: not tied to specific tools but skilled at discerning when a platform is an asset versus a liability

Demonstrated ability to measure and communicate business value, tying data science and ML/AI outcomes to enterprise objectives

A collaborative and customer-first leader whose success comes from building solutions that deliver lasting value for PURE's members, brokers, and employees

Preferred

Advanced degree preferred

Familiarity with P&C insurance or financial services is highly desirable, but the ability to bring fresh ideas from other industries and challenge legacy assumptions is equally important