Agentic AI Engineer: Build Production AI for Healthcare

Zelis; Boston (MA); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

401k with employer match

Flexible paid time off

Health benefits including medical, etc

Job summary

Zelis is building an Agentic AI Engineering function to rethink how AI solves healthcare's operational challenges. You will own projects from discovery through launch, partnering with business and technical teams to design, build, and deploy agentic AI solutions that improve healthcare financial workflows.

As an Agentic AI Engineer, you will turn complex problems into scalable AI-enabled systems, working across AI, software, and business strategy to deliver production-ready agents and

Qualifications

• 3-5 years building software or AI products in startups, applied AI, or similar fast-moving environments.
• Experience delivering production software or AI solutions from prototype through launch.
• Experience with LLMs, agents, RAG, tool use, APIs, or modern AI frameworks.
• Experience partnering with internal business stakeholders or customers to 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 guardrails.
• Comfortable navigating ambiguity and owning problems from discovery through handoff.
• Strong communication skills with both technical and business stakeholders.
• Evidence of curiosity and hands-on experimentation with AI.
• A builder mindset with ownership and experimentation.

Responsibilities

• Identify high-value AI opportunities with internal teams.
• Translate complex healthcare problems into scalable AI solutions.
• Apply AI where appropriate and deterministic controls where reliability matters.
• Design, build, and deploy production-ready AI agents and applications.
• Build agent workflows, APIs, data pipelines, and orchestration layers.
• Collaborate with stakeholders through discovery, implementation, and launch.
• Improve automation, decision support, accuracy, and operational efficiency.
• Identify reusable agentic patterns to strengthen the platform.
• Tackle ambiguous problems without a playbook.
• Validate outcomes and transition solutions to owning teams.

Skills

Software engineering

AI product experience

LLMs & Agents

Stakeholder collaboration

Modern programming language

Cloud deployment

AI guardrails

Ambiguity ownership

Production-ready AI

Automation & data workflows

Tools

APIs

Data pipelines

Production systems

Job description

Zelis is building an Agentic AI Engineering function to rethink how AI solves healthcare's operational challenges. You will own projects from discovery through launch, partnering with business and technical teams to design, build, and deploy agentic AI solutions that improve healthcare financial workflows.

As an Agentic AI Engineer, you will turn complex problems into scalable AI-enabled systems, working across AI, software, and business strategy to deliver production-ready agents and