Agentic AI Engineer

Zelis is hiring an Agentic AI Engineer to design, build, deploy, and transition production-ready agentic AI for complex healthcare financial workflows. Responsibilities Collaborate with business leaders and engineers to spot high-value AI opportunities Convert complex healthcare financial problems into scalable agentic AI solutions Select the right approach for each use case: apply AI when reasoning and ambiguity are required, and use deterministic software, rules, and controls when they improve reliability Design, build, and deploy production-ready AI agents and applications Develop agent workflows, tool integrations, APIs, data pipelines, and orchestration layers Partner with stakeholders through discovery, implementation, launch, and handoff Drive improvements in automation, decision support, accuracy, and operational efficiency Identify reusable agentic patterns that strengthen the core platform Resolve ambiguous problems without an existing playbook Validate outcomes, establish guardrails, and transition solutions to long-term owning teams Requirements ~3–5 years building software or AI products in startups, applied AI, innovation, consulting, or similar fast-moving environments Experience taking AI or production software from prototype through launch Hands‑on experience with LLMs, agents, RAG, tool use, APIs, or modern AI frameworks Ability to partner with internal business stakeholders or customers to understand complex problems, lead technical discussions, and translate needs into practical solutions Strong software engineering fundamentals in at least one modern programming language Experience deploying cloud-based production systems Capacity to evaluate agent behavior, system performance, and appropriate AI guardrails Comfort operating in ambiguity and owning work from discovery through handoff Strong communication skills with both technical and business stakeholders Demonstrated curiosity and hands‑on experimentation with AI through professional work, open source, personal projects, agents, automations, or other technical exploration Builder mindset focused on curiosity, experimentation, and ownership Preference for impact through what you have built, including experimentation with AI, building agents, and shipping projects Technologies LLMs Agents RAG APIs Modern AI frameworks Benefits 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 Work Style Boston, MA (hybrid) 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 Leadership In‑office work and activities vary by work and team objectives in accordance with Company policies Candidates within approximately 50 miles of a U.S. office are generally preferred for collaboration when needed Hybrid approach is flexible, with in‑office presence guided by team and business needs rather than a fixed weekly schedule Base Salary Range USD 163,200 - 224,400 per year 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, email View email address on click.appcast.io . #J-18808-Ljbffr DataJobs.com