GenAI Engineer: Healthcare Ops & Agentic AI

Cardinal Health

Santa Fe (NM)

Remote

USD 96,000 - 151,000

Full time

14 days+

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Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Health savings account

401k savings plan

FSAs

Work-Life resources

Paid parental leave

Disability coverage

Job summary

Cardinal Health is seeking an AI Engineer for the Sonexus Health Pharmacy Services AI & Innovation team. You will design and deploy scalable GenAI-powered solutions for healthcare operations and patient services, focusing on agentic workflows, RAG, and secure, compliant AI integration.

You will collaborate with product, engineering, data, and business stakeholders to ensure production‑grade AI systems meet healthcare regulations and enterprise standards across Azure and GCP environments.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field preferred.
5+ years of professional software engineering experience, with strong proficiency in Python and Java/.Net/C# preferred.
2+ years of hands‑on experience building GenAI/LLM‑based applications in real-world or enterprise environments.
Experience designing and implementing agentic or multi‑step AI workflows using orchestration frameworks such as LangGraph or similar.
Strong understanding of retrieval pipelines, embeddings, vector databases, prompt engineering, and LLM APIs.
Experience deploying AI solutions in cloud environments (Azure and/or GCP).
Familiarity with secure application development and enterprise integration patterns.
Experience in healthcare, life sciences, pharmacy services, or regulated industries preferred.

Responsibilities

Design, prototype, and deploy Generative AI applications using RAG, prompt engineering, fine‑tuning, and vector search
Build and maintain Python‑based APIs and software components to support AI services and ensure scalable, production‑grade solutions
Develop multi‑step, agentic workflows for reasoning, task execution, and orchestration using LangChain, LangGraph, and LlamaIndex
Integrate AI capabilities into healthcare and pharmacy services workflows, including case management, program operations, analytics, and internal knowledge systems
Deploy, monitor, and optimize GenAI models and pipelines using cloud‑native tooling, orchestration frameworks, and MLOps practices
Contribute to the AI platform and reference architecture across cloud environments, including Azure and GCP
Collaborate with cross‑functional teams to ensure AI solutions meet security, privacy, and compliance requirements (HIPAA, PHI)
Document designs, patterns, and best practices to support enterprise reuse and long‑term platform sustainability
Evaluate vendor solution architecture, APIs, data flows, identity and access controls, security, scalability, interoperability, and operational supportability
Participate in technical discovery and proof‑of‑concept activities, document findings and trade-offs, and provide recommendations for vendor selection, integration approach, and implementation readiness.