Agentic AI Process Engineer (Process Engineer Senior)

Elevance Health•Durham, NC

1d•Hybrid

About The Position

The Agentic AI Process Engineer (Process Engineer Senior) will play a foundational role in advancing AI-driven automation and scalable operating models across PGE initiatives. This individual will analyze business, product, and technology workflows and design multi-agent systems that improve efficiency, reduce operating costs, and support health plan scalability. The role requires both process engineering rigor and deep technical fluency in agentic AI architectures, orchestration frameworks, and enterprise system integration. This position is not limited to experimentation or proof-of-concept work. The Agentic AI Process Engineer will define production-grade architectures for AI-based automations, including orchestration layers, tool interfaces, data access boundaries, observability mechanisms, and governance controls appropriate for a regulated healthcare environment.

Requirements

Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years’ experience authoring and analyzing technology processes; process/maturity models in the applicable domain (ITIL, CMMI, Six Sigma, COBIT); with process design, mapping, quality tools, and organizational change management concepts; or any combination of education and experience, which would provide an equivalent background.

Nice To Haves

7+ years of experience in software engineering, systems architecture, automation engineering, or technical product development highly preferred.
3+ years of experience designing and implementing AI/ML-driven systems in production environments highly preferred.
Demonstrated experience with LLM-based systems, including orchestration frameworks, retrieval-augmented generation (RAG), Model Context Protocols (MCP), tool integration, and multi-step reasoning workflows highly preferred.
Experience defining system architectures, APIs, and integration patterns within enterprise environments highly preferred.
Experience designing automation solutions across business and operational workflows highly preferred.
Familiarity with data governance, security controls, and regulatory considerations in healthcare or other regulated industries highly preferred.
Strong analytical skills with the ability to map complex business processes into structured technical architectures highly preferred.
Ability to communicate complex technical designs clearly to both technical and non-technical stakeholders highly preferred.
Experience designing and deploying multi-agent systems or agent-based automation frameworks at scale highly preferred.
Experience within a health plan, payer organization, or healthcare services environment highly preferred.
Familiarity with HIPAA-compliant data architectures and PHI handling requirements highly preferred.
Experience building observability and evaluation frameworks for AI systems (e.g., trace logging, hallucination detection, performance instrumentation) highly preferred.
Experience implementing human-in-the-loop review systems for AI-enabled workflows highly preferred.
Experience with workflow orchestration platforms and process mining tools highly preferred.
Exposure to product incubation or innovation environments focused on launching new market offerings highly preferred.
Demonstrated ability to balance technical rigor with pragmatic execution in fast-moving growth contexts highly preferred.

Responsibilities

Performs analysis on current capabilities versus desired capabilities.
Tests processes, documents and communicates results.
Applies process design, mapping, and quality assurance tools to define processes.
Conducts testing to ensure standard processes, policies, guidelines, and templates are being utilized.
Interprets results of testing.
Executes metrics to measure process effectiveness.
Interviews associates to document workflows.
Assists in training associates on new processes.
Authors processes and procedures, templates, and guidelines.
Facilitates process design meetings.
Executes implementation plans for new processes.
Provides postproduction support for issue management and resolution.
Applies architecture and structural design techniques to design process systems.
Analyzes end-to-end business, product, and technology processes to identify high-impact automation opportunities for agentic AI.
Translates operational pain points and growth objectives into structured automation and multi-agent system designs.
Designs and proposes multi-agent, scalable architectures aligned to business requirements.
Designs performant agentic orchestration, communication protocols, tool abstraction layers, and system boundaries for AI-driven workflows.
Establishes data access patterns, security controls, and PHI-compliant boundaries for agentic systems within a regulated healthcare environment.
Partners with Product, Engineering, Data, Security, and Compliance teams to ensure production-ready implementations.
Develops evaluation frameworks for agentic systems, including performance metrics, accuracy benchmarks, cost controls, and failure handling.
Defines human-in-the-loop models and escalation pathways for high-risk or exception scenarios.
Documents reusable architectural patterns, governance standards, and implementation playbooks to enable repeatable automation across growth initiatives.
Supports vendor evaluation and integration of AI tooling, orchestration frameworks, and related platforms.
Monitors emerging advancements in agentic AI, workflow automation, and enterprise AI governance, translating relevant innovations into practical solutions.