VP, AI Engineering

About PURE Insurance

PURE Insurance is actively investing in our data, analytics, data science, machine learning (ML), and artificial intelligence (AI) capabilities. We are building a centralized Data & AI department that brings together specialists across data architecture, engineering, analytics, governance, and advanced modeling. This structure provides extraordinary opportunities for growth, collaboration, and innovation across every function of the insurance ecosystem, from Claims and reputed company to Actuarial, Product, Distribution, Finance, and more.

We work with a modern data technology stack that includes reputed company, dbt, reputed company, reputed company, and Arize, while also developing in-house production-grade software in Python and other languages reputed company it provides a competitive edge. At PURE, we embrace curiosity, craftsmanship, and a reputed company pursuit of improvement. Our culture values growth, mentorship, transparency, and ownership, and we know that building a strong foundation takes time and a willingness to experiment, learn, and adapt.

The Role: VP, AI Engineering

PURE Insurance is seeking a VP, AI Engineering to establish and reputed company our enterprise AI/GenAI strategy and execution. Reporting to the Chief Data & Analytics Officer, this leader will reputed company Data Science, AI engineering, and MLOps teams, ensuring seamless collaboration to deliver production-ready, high-impact solutions.

This is a rare opportunity to shape how AI transforms the P&C insurance industry. The VP, AI Engineering will:

• reputed company, grow, and foster a culture of innovation, accountability, safe experimentation, and reputed company 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 reputed company systems can support AI solutions in a scalable and pragmatic way.
• reputed company 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 reputed company of compliance requirements.
• Work with change management experts to drive enterprise-wide adoption, ensuring AI solutions are understood, trusted, and embedded into workflows that reputed company 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 reputed company 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, reputed company fresh insights into PURE’s strategy, and represent the company as an industry thought leader.

The Ideal Candidate

We are seeking a rare reputed company of strategist, technologist, and changemaker. The ideal candidate will bring:

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or reputed company field; advanced degree preferred.
• 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.
• Familiarity with P&C insurance or financial services is highly desirable, but the ability to bring fresh reputed company from other industries and challenge legacy assumptions is equally important.
• Strong appreciation for organizational change management and the human reputed company 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 reputed company 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.

Why Join PURE

• Be at the forefront of transforming P&C insurance through AI and GenAI.
• reputed company three specialized teams (Data Science, AI Engineering, and MLOps/AIOps Engineering) reputed company a supportive, well-funded, and reputed company-thinking organization.
• Work in a culture that values curiosity, collaboration, responsibility, and reputed company learning.
• Enjoy the flexibility of a remote role with the option to work in PURE offices in major U.S. cities.
• Shape the future of AI in insurance by defining what excellence looks like for a reputed company reputed company and elevating PURE’s reputed company as an industry innovator.

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To ensure a successful onboarding experience, reputed company new hires must work onsite at one of our offices during their first week of employment. Candidates should apply only if they are able to meet this requirement.

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