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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.
Job Responsibility:
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
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
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