About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.

Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.

About the Role

Do you thrive at the intersection of deep technical problem-solving and leadership? As an AI Engineering Manager, you will help set technical direction for AI/ML solutions that solve high-impact customer and internal problems, from discovery through production. You’ll partner closely with Engineering, Product, and customer-facing teams to translate complex business needs into scalable, secure, and reliable AI capabilities. In this role, you’ll lead by example—driving design and engineering excellence, mentoring engineers across levels, and raising the bar on how we build, deploy, and operate AI systems in production.

Your day to day

Lead architecture, design, and implementation of AI/ML systems from concept to production
Define technical standards, best practices, and AI engineering patterns across teams
Translate complex business problems into scalable AI solutions
Guide model development, evaluation, deployment, and lifecycle management
Partner with Product and Engineering leaders on AI strategy and roadmap
Mentor senior and junior engineers; raise overall technical maturity
Ensure responsible AI practices, security, privacy, and compliance
Evaluate emerging technologies and drive innovation initiatives

What you bring to the team

8-10 years of experience in data engineering and architecture roles, with 2+ years in an engineering leadership role.
Strong experience leading ML/AI engineering efforts from concept through production in fast‑moving organizations.
Exposure to Databricks, Mosaic AI Gateway, and related Data + AI technologies.
Working knowledge of RAG architectures, SQL Agents, and MCP.
Strong analytical and problem‑solving skills, with the ability to translate complex problems into clear execution plans.
Proven ability to mentor and coach less‑experienced engineers, providing technical guidance, feedback, and growth support across complex AI initiatives.
Acts as a technical mentor across teams, elevating engineering quality by developing junior engineers and modeling best practices in AI system design and delivery.

Compensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.

What you’ll get in return:

Unlimited paid time off – recharge when you need it
Work from anywhere – flexibility to fit your life
Comprehensive health coverage – multiple plan options to choose from
Equity for every employee – share in our success
Growth-focused environment – your development matters here
Home office setup allowance – one-time support to get you started
Monthly cell phone allowance – stay connected with ease #LI-SB1 #LI-Remote

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

AI Engineering Manager

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