AI Engineering Manager
Job Overview
About Us
Abacus Insights is changing the way healthcare works for you. We’re on a mission to unlock the power of data so health plans can enable the right care at the right time—making life better for millions of people. No more data silos, no more inefficiencies. Just smarter care, lower costs, and better experiences.
Backed by $100M from top VCs, we’re tackling big challenges in an industry that’s ready for change. And while GenAI is still new for many, we’ve already mastered turning complex healthcare data into clear, actionable insights. That’s our superpower—and it’s why we’re leading the way.
Abacus, innovation starts with people. We’re 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:
As a skilled and mission-driven AI Engineering Manager, you will lead, direct, manage, and participate in the day-to-day operations of a team of software, data and AI engineers working closely with QA engineers, product owners and business. You will manage all the operational aspects of the teams to ensure business and product\project objectives are met. You provide administrative, technical, and people leadership for multiple, diverse, and geographically distributed teams. You provide feedback to the team and individuals on their performance. You will coach and guide teams to enable future success. Also be a partner with the VP and CTO on strategic initiatives and future business growth opportunities and ensuring the engineering organization can scale to meet the business needs while pushing the envelope of innovation
As a member of the engineering team, you are responsible for coaching, mentoring, managing, and leading the talent within an agile environment.
In this role, you will:
- Define and deliver AI strategy – Drive the development and deployment of advanced AI models and systems that power Abacus products (e.g., Abacus Agents, MCP, SQL and RAG tools).
- Lead cross-functional collaboration – Work closely with AI engineers, data engineers, and product teams to create solutions that boost user productivity and satisfaction.
- Manage and mentor teams – Oversee software development teams (30+ engineers) across multiple product lines, guiding architecture decisions, coding standards, and organizational best practices.
- Drive innovation and execution – Lead critical projects in AI and data engineering, ensure roadmap delivery, and maintain high quality standards.
- Influence architecture and operations – Participate in architectural discussions, improve processes for Agile/Scrum teams, and balance roadmap commitments with operational priorities.
- Scale for growth – Coach and develop talent, evolve team structure toward 50+ engineers, and foster a culture of excellence.
What you have in return:
- 8–10 years in engineering roles, including 3–5 years managing technical teams.
- 4+ years in ML/AI engineering within high-growth environments or equivalent academic research experience.
- 2+ years working with Databricks, Mosaic AI Gateway, and related Data+AI technologies.
- Hands-on experience with generative models, embeddings, fine-tuning, evaluation benchmarks, agentic workflows (orchestration, observability, debugging), RAG, SQL Agents, MCP, etc.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architectures; strong coding and software engineering principles.
- Experience building distributed, scalable systems for data processing (10s–100s TB).
- Proven success leading engineering teams/projects to deliver production-grade systems.
- Strong analytical/problem-solving abilities, familiarity with adjacent roles (product, project, operations), and ability to influence technical discussions.
- Nice to Have: Exposure to Snowflake, FHIR, or healthcare data.
Our team values open collaboration each day, frequent standup meetings, and a workplace grounded in mutual respect and ongoing professional growth. This role prioritizes direct, hands-on leadership and encourages active involvement with team members. If you are passionate about data engineering and ready to lead a talented team, we encourage you to apply!
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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.