Agentic AI Engineer

Zelis is hiring an Agentic AI Engineer to design, build, deploy, and transition production-ready agentic AI solutions for complex healthcare financial workflows. This hybrid role in Boston, MA brings together business leaders, engineers, and domain experts to pinpoint high-value AI opportunities and deliver practical systems that support automation, better decisions, improved accuracy, and operational efficiency.

What you’ll do

• Partner with internal business leaders and engineers to identify high-value AI opportunities.
• Translate complex healthcare business challenges into scalable agentic AI solutions.
• Choose the right approach for each problem: apply AI where reasoning and ambiguity call for it, and use deterministic software, rules, and controls where they offer greater reliability.
• Design, build, and deploy production-ready AI agents and applications.
• Create agent workflows, tool integrations, APIs, data pipelines, and orchestration layers.
• Work directly with stakeholders through discovery, implementation, launch, and handoff.
• Improve automation, decision support, accuracy, and operational efficiency across the workflow.
• Identify reusable agentic patterns that strengthen the core platform.
• Handle ambiguous problems where no playbook exists.
• Validate outcomes, establish guardrails, and transition solutions to long-term owning teams.

What we’re looking for

• Approximately 3–5 years building software or AI products in startups, applied AI, innovation, consulting, or similar fast-moving environments.
• Experience delivering production software or AI solutions from prototype through launch.
• Hands-on experience with LLMs, agents, RAG, tool use, APIs, or modern AI frameworks.
• Interest and experience partnering with internal stakeholders or customers to understand complex problems and translate needs into practical solutions.
• Strong software engineering fundamentals in at least one modern programming language.
• Experience deploying cloud-based production systems.
• Ability to evaluate agent behavior, system performance, and appropriate AI guardrails.
• Comfort navigating ambiguity and owning problems from discovery through handoff.
• Strong communication skills with both technical and business stakeholders.
• Curiosity and hands-on experimentation with AI through professional work, open source, personal projects, agents, automations, or other technical exploration.
• A builder mindset, valuing curiosity, experimentation, and ownership.
• A track record that matters most: what you’ve built, including experimentation with AI, agents, and shipped projects.

Technologies you’ll work with

LLMs, agents, RAG, APIs, and modern AI frameworks.

Compensation and benefits

Base salary range: $163,200.00 – $224,400.00 per year.

• 401k plan with employer match
• Flexible paid time off
• Holidays
• Parental leaves
• Life and disability insurance
• Health benefits including medical, dental, vision, and prescription drug coverage

Location and workplace flexibility

• Zelis is headquartered in the U.S., with multiple locations across the country and in Hyderabad, India.
• Employee work locations are based on the needs of the position and determined by the Leadership team.
• In-office work and activities vary based on work and team objectives in accordance with Company policies.
• Candidates within approximately 50 miles of a U.S. office are generally preferred to support collaboration when needed.
• Hybrid approach is flexible, with in-office presence guided by team and business needs rather than a fixed weekly schedule.

Accessibility support

If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email [email protected].