AVP, 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 Underwriting to Actuarial, Product, Distribution, Finance, and more.

We work with a modern data technology stack that includes Databricks, dbt, GitHub, Hex, and Arize, while also developing in-house production-grade software in Python and other languages when it provides a competitive edge. At PURE, we embrace curiosity, craftsmanship, and a relentless 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: AVP, AI Engineering

PURE Insurance is seeking a AVP, AI Engineering to help turn AI strategy into real, production-grade solutions that deliver measurable business value. Reporting to the VP, AI Engineering, this role sits at the intersection of hands-on development, technical leadership, and business engagement.

This is a highly visible “builder-leader” role focused on unlocking the value of unstructured data (documents, images, audio/voice, and more) using both traditional AI techniques (e.g., deep learning, NLP, computer vision) and modern generative AI approaches.

Rather than defining enterprise-wide AI strategy, this role is about making things happen – identifying opportunities, building solutions from scratch, and ensuring they are successfully operationalized within the business.

The AVP, AI Engineering will:

• Design, build, and deploy production-ready AI/GenAI solutions, with a strong focus on extracting value from unstructured data sources (documents, images, audio, etc.).
• Act as a high-impact individual contributor and technical leader, leading by example through hands-on development while influencing best practices across teams.
• Partner closely with business stakeholders and technical leaders to frame problems, identify high-value use cases, and translate them into scalable AI solutions.
• Execute against a broader AI strategy while contributing domain-level insights and innovation, especially in emerging areas like generative and agentic AI.
• Develop foundational AI capabilities (“building blocks”) such as OCR pipelines, document understanding systems, and reusable GenAI patterns that accelerate future use cases.
• Rapidly prototype and iterate on solutions, balancing speed with long-term scalability and maintainability.
• Navigate ambiguity and build solutions where playbooks do not yet exist, bringing structure and clarity to undefined problem spaces.
• Ensure solutions are successfully deployed, adopted, and embedded into business workflows to drive measurable impact (not just technical success).
• Collaborate with Data Engineering, Data Science, MLOps Engineering, and IT teams to ensure seamless integration into PURE’s broader data ecosystem.
• Help identify and prioritize “low-hanging fruit” opportunities while also contributing to more complex, high-impact initiatives over time.
• Participate in discussions around AI governance, architecture, and long-term vision, while focusing primarily on execution and delivery.

The Ideal Candidate

We are seeking a technically strong, execution-oriented leader who thrives in ambiguity and is motivated by building solutions that deliver real business impact. The ideal candidate will bring:

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field; advanced degree preferred.
• ~6–10 years of experience in data science, machine learning, or AI, with strong hands-on expertise in building and deploying real-world solutions.
• Experience working with unstructured data (e.g., text, documents, images, audio, video), including techniques such as NLP, computer vision, or deep learning.
• Experience with generative and agentic AI, including deploying real-world use cases into production.
• Strong coding and software engineering skills (e.g., Python), with an understanding of what it takes to move from prototype to production.
• A “builder” mindset: able to take loosely defined problems and turn them into working, scalable solutions without predefined playbooks.
• Experience balancing rapid prototyping with thoughtful system design, managing technical tradeoffs effectively.
• Ability to engage with both technical and non-technical stakeholders, translating business needs into actionable solutions.
• Understanding that delivering value requires not just building models, but ensuring adoption, integration, and operational impact.
• Experience collaborating across multidisciplinary teams (data science, engineering, product, etc.).
• Familiarity with P&C insurance or financial services is strongly preferred but not required.
• A pragmatic and curious approach to technology: focused on solving the right problems, not just using the latest tools.

Why Join PURE

• Be at the forefront of applying AI and GenAI to transform the P&C insurance industry, particularly in unlocking the value of unstructured data.
• Work on high-impact problems with the freedom to explore, experiment, and build without unnecessary constraints.
• Operate as a builder and innovator in a highly visible role with direct impact on business outcomes.
• Collaborate with a talented and growing Data & AI organization in a supportive, well-funded, and forward-thinking environment.
• Work in a culture that values curiosity, collaboration, responsibility, and continuous learning.
• Enjoy the flexibility of a remote role with the option to work in PURE offices in major U.S. cities.

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What We Do

We're a member-owned property and casualty insurer designed exclusively for financially successful families and driven by a purpose of doing what is right for our members.  Our reciprocal model focuses on service and doing what is right for the membership: we provide exceptional service, hospitality and care, we partner with our members to help prevent losses and we create smart insurance solutions at fair prices.

 

We aim for our members to love their insurance. It is our mission is to create a membership experience so compelling that ​our members never want to leave.

 

Who We Are

We want to be transparent about what we expect from each other.  From PURE, you can expect:

Opportunities to stretch and grow: your professional and personal development matters to us. We’re committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.

Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like.

Support in good times and bad: we believe in showing up for each other consistently, not only when it’s easy. You can expect a thoughtful partner, even when we disagree.

A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual. We lift each other up, celebrate wins together and support one another through challenges in work and life.

 

Who You Are

All of the strongest relationships are a partnership- a two way street. So here’s what we ask of you:

• Aim to bring your best every day: you’re here because you want to be part of a team that makes a real impact and aims high.

• Be a student and a teacher: share your knowledge and talents and be willing to listen and learn from those around you.

• Get comfortable being uncomfortable: we face tough moments and obstacles with a “courage over comfort” approach and a positive, solutions-oriented mindset.

• Be a culture builder:  building a positive culture is everyone's responsibility, based on care, respect and openness to diverse perspectives.

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The base salary for this role can range from $155,000 to $180,000 based on a full-time work schedule. An individual’s ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience

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To ensure a successful onboarding experience, all 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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