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The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Grade: Technical 406
Pay Range: $98,300.00 - $147,400.00
Job Description
The Agentic Workflow Engineer is responsible for designing, developing, analyzing, and implementing AI-enabled workflows and agentic solutions that optimize institutional business processes to support the growth, service level, productivity, and cost performance needs of the university.
The AWE's primary focus is to reimagine 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 AWE works to identify opportunities for AI-native workflow transformation, develop and implement solutions that integrate people, processes, data, and technology, and establish breakthrough future-state operating models aligned with the institution's strategic goals.
Operating across all levels of the organization, including executives and vice presidents, the AWE translates strategic priorities into transformation opportunities and influences cross-functional stakeholders to drive meaningful change. They will work closely with Project/Program/Portfolio Managers, Finance, Institutional Analytics & Research (IAR), Subject Matter Experts (SMEs), Process Owners, Senior Leaders and technology partners to translate business needs into functioning solutions that deliver measurable value. This includes quantifying expected and realized business impact and connecting solution outcomes to institutional strategy, priorities, and performance goals.
The AWE will be directly involved in the largest and most important strategic transformation initiatives, helping evolve Business Process Engineering into an AI-native capability across the university.
Responsibilities
- Designs, develops, tests, and implements AI-enabled workflows and agentic solutions to improve complex business processes within and across multiple business units.
- Partners with executives, vice presidents, senior leaders, and cross-functional stakeholders to translate institutional strategy and business priorities into high-value AI-enabled transformation opportunities, future-state operating models, and measurable outcomes.
- Identifies and prioritizes enterprise transformation opportunities aligned with institutional strategy and business priorities, redesigning work using agentic AI, workflow orchestration, conventional automation, and human-in-the-loop decision-making to improve productivity, service levels, quality, cost performance, and deliver measurable business value.
- Translates business requirements and process improvement opportunities into technical designs, executable AI tasks, multi-step agent workflows, working prototypes, and scalable workflow solutions.
- Designs responsible AI solutions, determining appropriate levels of autonomy, agent authority, human verification and approval, exception handling, escalation, access controls, and monitoring based on business impact and risk.
- Develops and integrates AI agents with approved enterprise applications, APIs, MCP-enabled tools, data sources, and business systems to enable coordinated execution of multi-step workflows.
- Applies programming, automation, AI-assisted development, and software engineering practices to build, debug, evaluate, and continuously improve solutions.
- Analyzes current-state processes, identifies inefficiencies and unnecessary work, and engineers future-state workflows that optimize the interaction between people, processes, and technology.
- Establishes testing and evaluation approaches to measure solution accuracy, reliability, performance, and effectiveness across standard, edge-case, ambiguous, and failure conditions. Diagnoses issues affecting business effectiveness.
- Collaborates with IT, Systems Engineers, Enterprise Architects, Product Managers, and other technology partners to align solutions with enterprise architecture, security, integration, and production requirements.
- Develops measurement plans and tracks business and AI-specific key performance indicators (KPIs) and Objectives & Key Results (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.
- Establishes reusable engineering patterns, technical standards, and implementation practices to accelerate the development and adoption of AI-native workflows across Business Process Engineering.
- Coaches and supports other team members and university employees in the application of AI-enabled workflow engineering and process transformation practices.
- Supports enterprise-level process and cultural transformation, partnering with stakeholders across organizational levels, to guide stakeholders through changes to roles, responsibilities, and ways of working.
- Constructs and communicates solution designs, project status, risks, and business outcomes to technical and non-technical stakeholders at all levels of the organization.
- Collaborates with professionals across the university to identify emerging technologies and opportunities that advance the institution's strategic objectives and student-obsessed mission.
- Responds with urgency to organizational needs, exercises sound technical and business judgment, and takes accountability for delivering measurable results.
- Works in conjunction with Finance and business stakeholders to quantify transformation opportunities, develop business cases, demonstrate expected and realized value, capacity, service levels, outcomes, and cost over time to identify opportunities and prevent operational inefficiencies.
- Performs other job-related duties as assigned.
Qualifications
Knowledge, Skills, and Abilities
- Knowledge of applied artificial intelligence, large language models (LLMs), 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 to connect 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 for 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 approaches, and experience collaborating on cross-functional initiatives.
- Excellent problem-solving skills.
- Investigates appropriate resources and involves partners.
- Future oriented. Connects institutional strategy to future-state capabilities, operating models, and transformation opportunities. Assesses what will help or hinder achieving goals. Focuses on what is important.
- Ability to draw on facts collected from a broad knowledge of the university's goals and processes.
- Ability to be adaptable. Tackles obstacles appropriately. Comfortable with ambiguity.
- Accountable to others; does what it takes to get the job done. Actions are consistent with words. Follows through on commitments and exhibits exceptional integrity.
- Displays commitment to the organization and to personal growth.
- Is self-motivated and able to motivate and inspire others.
- Asserts self appropriately to champion ideas. Tells the truth in a direct and constructive manner.
- Self-directs with a strong tendency for action. Leads the way to improve performance and engineer innovative solutions.
- Displays keen interest in students and the organization.
- Excellent interpersonal skills. Serves students or employees in a considerate, respectful, and unbiased manner, approaches conflict proactively, solicits and shares feedback openly, listens with empathy, and maintains composure.
- Ability to think strategically and systemically, connecting institutional goals, business capabilities, processes, people, data, and technology to identify and shape AI-enabled enterprise transformation opportunities.
- Strong business acumen and ability to evaluate AI-enabled transformation opportunities based on strategic alignment, expected value, cost, capacity, service performance, risk, feasibility, scalability, and organizational impact.
Education
- Bachelor’s degree in computer science, Software Engineering, Information Systems, Industrial Engineering, Operations Research, or another relevant engineering, business, or technical discipline
Experience
- 5 years of related experience in software development, AI-enabled solutions, workflow automation, systems integration, or business process engineering.
Experience in lieu of education Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is the discretion of the hiring manager.
Preferred Qualifications
- 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 & workflow transformation opportunities, build stakeholder alignment, and influence complex cross-functional decisions.
Travel This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
