Agentic Workflow Engineer

Western Governors University•Salt Lake City, UT

1d•$98,300 - $147,400

About The Position

The Agentic Workflow Engineer designs, develops, analyzes, and implements AI-enabled workflows and agentic solutions that optimize institutional business processes and support the university’s growth, service levels, productivity, and cost performance. The role reimagines how work gets done by combining agentic AI, workflow automation, systems integration, and business process engineering to improve operational efficiency and enable scalable, data-driven execution. The engineer identifies opportunities for AI-native workflow transformation and develops solutions that integrate people, processes, data, and technology. Working across the organization—including with executives and vice presidents—the role translates strategic priorities into transformation opportunities and influences cross-functional stakeholders to drive change. It partners with project, program, and portfolio managers; Finance; Institutional Analytics & Research; subject matter experts; process owners; senior leaders; and technology partners to deliver functioning solutions, quantify expected and realized business impact, and connect outcomes to institutional strategy and performance goals. The role contributes directly to major strategic transformation initiatives and helps evolve Business Process Engineering into an AI-native capability across the university. The position is full-time, regular, and classified as 40 standard weekly hours. It requires occasional travel of up to 20%, including attendance at designated company summits, typically one to two per year.

Requirements

Bachelor’s degree in computer science, software engineering, information systems, industrial engineering, operations research, or another relevant engineering, business, or technical discipline; equivalent relevant experience may substitute for the degree at the hiring manager’s discretion, generally at a rate of one year of experience for one year of education.
Five years of related experience in software development, AI-enabled solutions, workflow automation, systems integration, or business process engineering.
Knowledge of applied artificial intelligence, large language models, agentic AI concepts, and their application in business workflow transformation.
Proficiency in programming and software development fundamentals, including the ability to develop, debug, and maintain working solutions using languages such as Python.
Knowledge of APIs, MCPs, system integration, data structures, and workflow orchestration for connecting AI agents with enterprise applications and approved data sources.
Familiarity with AI development frameworks, automation platforms, and tools for building and evaluating AI-enabled workflows.
Understanding of AI evaluation techniques, testing methodologies, error handling, monitoring, and responsible AI practices, including appropriate human oversight and access controls.
Ability to analyze complex business processes, identify improvement opportunities, and translate business needs into practical technical solutions.
Knowledge of process improvement methodologies, workflow design, and business process architecture mapping.
Ability to analyze operational data, establish performance measures, and draw actionable insights to guide solution design and optimization.
Ability to identify and mitigate technical, operational, and implementation risks.
Strong written and verbal communication skills, including presenting recommendations to senior leadership and explaining technical concepts to non-technical stakeholders.
Ability to solve complex problems, experiment with emerging technologies, and deliver practical solutions in ambiguous environments.
Working knowledge of project management methodologies, particularly Agile or iterative development, and experience collaborating on cross-functional initiatives.
Excellent problem-solving skills; investigates appropriate resources and involves partners.
Future-oriented perspective: connects institutional strategy to future-state capabilities, operating models, and transformation opportunities; assesses what will help or hinder goals and focuses on what is important.
Ability to draw on facts collected from a broad knowledge of university goals and processes.
Adaptability and comfort with ambiguity; tackles obstacles appropriately.
Accountability, integrity, follow-through, and commitment to delivering work.
Commitment to the organization and personal growth; self-motivation and ability to motivate and inspire others.
Ability to champion ideas appropriately and communicate directly and constructively.
Self-direction and initiative in improving performance and engineering innovative solutions.
Interest in students and the organization.
Strong interpersonal skills, including considerate, respectful, and unbiased service; proactive conflict management; open feedback; empathetic listening; and composure.
Ability to think strategically and systemically, connecting institutional goals, business capabilities, processes, people, data, and technology to shape enterprise transformation opportunities.
Strong business acumen and ability to evaluate transformation opportunities based on strategic alignment, expected value, cost, capacity, service performance, risk, feasibility, scalability, and organizational impact.

Nice To Haves

Master’s degree in a relevant technical or engineering discipline.
Experience implementing human-in-the-loop AI workflows and defining AI evaluations.
Experience with Claude, Claude Code, or comparable enterprise generative AI platforms.
Experience designing and building AI-enabled applications, agentic workflows, or intelligent automation solutions.
Experience integrating applications and enterprise systems using APIs and other integration methods.
Experience with AI evaluation, testing, monitoring, and implementation of appropriate controls.
Prior Business Process Engineering, process improvement, or enterprise transformation experience, including designing future-state operating models and driving cross-functional value aligned with organizational strategy.
Experience translating business problems into technical solutions and demonstrating measurable operational value.
Familiarity with cloud platforms, software development practices, and enterprise AI governance.
Experience partnering with senior leaders to shape strategic recommendations, evaluate AI and workflow transformation opportunities, build stakeholder alignment, and influence complex cross-functional decisions.

Responsibilities

Design, develop, test, and implement AI-enabled workflows and agentic solutions to improve complex business processes within and across business units.
Partner with executives, vice presidents, senior leaders, and cross-functional stakeholders to translate institutional strategy and business priorities into transformation opportunities, future-state operating models, and measurable outcomes.
Identify and prioritize enterprise transformation opportunities, redesigning work with agentic AI, workflow orchestration, conventional automation, and human-in-the-loop decision-making to improve productivity, service levels, quality, and cost performance.
Translate business requirements and process improvement opportunities into technical designs, executable AI tasks, multi-step agent workflows, prototypes, and scalable solutions.
Design responsible AI solutions by determining autonomy, agent authority, human verification and approval, exception handling, escalation, access controls, and monitoring appropriate to business impact and risk.
Develop and integrate AI agents with approved enterprise applications, APIs, MCP-enabled tools, data sources, and business systems to coordinate multi-step workflows.
Apply programming, automation, AI-assisted development, and software engineering practices to build, debug, evaluate, and continuously improve solutions.
Analyze current-state processes, identify inefficiencies and unnecessary work, and engineer future-state workflows that optimize interactions among people, processes, and technology.
Establish testing and evaluation approaches to measure accuracy, reliability, performance, and effectiveness across standard, edge-case, ambiguous, and failure conditions; diagnose issues affecting business effectiveness.
Collaborate with IT, Systems Engineers, Enterprise Architects, Product Managers, and other technology partners to align solutions with enterprise architecture, security, integration, and production requirements.
Develop measurement plans and track business and AI-specific KPIs and OKRs to demonstrate realized value, including capacity improvements, reduced manual effort, service-level performance, exception rates, human intervention, workflow reliability, and cost efficiency, in partnership with Finance.
Establish reusable engineering patterns, technical standards, and implementation practices to accelerate adoption of AI-native workflows across Business Process Engineering.
Coach and support team members and university employees in AI-enabled workflow engineering and process transformation practices.
Support enterprise-level process and cultural transformation and guide stakeholders through changes to roles, responsibilities, and ways of working.
Communicate solution designs, project status, risks, and business outcomes to technical and non-technical stakeholders at all organizational levels.
Collaborate across the university to identify emerging technologies and opportunities that advance strategic objectives and the student-obsessed mission.
Respond with urgency to organizational needs, exercise sound technical and business judgment, and take accountability for measurable results.
Partner with Finance and business stakeholders to quantify transformation opportunities, develop business cases, demonstrate expected and realized value, capacity, service levels, outcomes, and costs over time, and identify opportunities to prevent operational inefficiencies.
Perform other job-related duties as assigned.