Agentic AI Process Engineer (Process Engineer Senior)

Agentic AI Process Engineer (Process Engineer Senior)

Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Atlanta, GA, Chicago, IL, Indianapolis, IN, Mendota Heights, MN or Durham, NC. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

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.

How you will make an impact:

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Performs analysis on current capabilities versus desired capabilities.

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Tests processes, documents and communicates results.

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Applies process design, mapping, and quality assurance tools to define processes.

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Conducts testing to ensure standard processes, policies, guidelines, and templates are being utilized. Interprets results of testing.

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Executes metrics to measure process effectiveness. Interviews associates to document workflows.

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Assists in training associates on new processes.

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Authors processes and procedures, templates, and guidelines.

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Facilitates process design meetings.

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Executes implementation plans for new processes.

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Provides postproduction support for issue management and resolution.

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Applies architecture and structural design techniques to design process systems.

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Analyzes end-to-end business, product, and technology processes to identify high-impact automation opportunities for agentic AI.

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Translates operational pain points and growth objectives into structured automation and multi-agent system designs.

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Designs and proposes multi-agent, scalable architectures aligned to business requirements.

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Designs performant agentic orchestration, communication protocols, tool abstraction layers, and system boundaries for AI-driven workflows.

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Establishes data access patterns, security controls, and PHI-compliant boundaries for agentic systems within a regulated healthcare environment.

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Partners with Product, Engineering, Data, Security, and Compliance teams to ensure production-ready implementations.

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Develops evaluation frameworks for agentic systems, including performance metrics, accuracy benchmarks, cost controls, and failure handling.

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Defines human-in-the-loop models and escalation pathways for high-risk or exception scenarios.

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Documents reusable architectural patterns, governance standards, and implementation playbooks to enable repeatable automation across growth initiatives.

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Supports vendor evaluation and integration of AI tooling, orchestration frameworks, and related platforms.

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Monitors emerging advancements in agentic AI, workflow automation, and enterprise AI governance, translating relevant innovations into practical solutions.

Minimum 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.

Preferred Skills, Capabilities and Experiences:

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7+ years of experience in software engineering, systems architecture, automation engineering, or technical product development highly preferred.

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3+ years of experience designing and implementing AI/ML-driven systems in production environments highly preferred.

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Demonstrated experience with LLM-based systems, including orchestration frameworks, retrieval-augmented generation (RAG), Model Context Protocols (MCP), tool integration, and multi-step