{"id":4246991,"url":"https://alion.io/job/western-governors-university-agentic-workflow-engineer","title":"Agentic Workflow Engineer","company":{"id":4075,"name":"Western Governors University","domain":"wgu.edu","url":"https://alion.io/company/wgu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":23,"ghost_share":0.087,"stale_share":0.087,"repost_share":0.261,"time_to_fill_p50_days":19,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Salt Lake City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":98300,"max":147400,"currency":"USD","period":"year","gross":null,"usd_annual":147400},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Claude","optional":true},{"name":"Claude Code","optional":true}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T13:01:21Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"If you’re passionate about building a better future for individuals, communities, and our country-and you’re committed to working hard to play your part in building that future-consider WGU as the next step in your career.\nDriven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.\nThe 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.\nAt 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: \nGrade: Technical 406Pay Range: $98,300.00 - $147,400.00Job Description\nThe 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.\nOperating 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.\nThe 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.\nResponsibilities\nDesigns, develops, tests, and implements AI-enabled workflows and agentic solutions to improve complex business processes within and across multiple business units.\nPartners 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.\nIdentifies 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.\nTranslates business requirements and process improvement opportunities into technical designs, executable AI tasks, multi-step agent workflows, working prototypes, and scalable workflow solutions.\nDesigns 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.\nDevelops 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.\nApplies programming, automation, AI-assisted development, and software engineering practices to build, debug, evaluate, and continuously improve solutions.\nAnalyzes current-state processes, identifies inefficiencies and unnecessary work, and engineers future-state workflows that optimize the interaction between people, processes, and technology.\nEstablishes 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.\nCollaborates with IT, Systems Engineers, Enterprise Architects, Product Managers, and other technology partners to align solutions with enterprise architecture, security, integration, and production requirements.\nDevelops 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.\nEstablishes reusable engineering patterns, technical standards, and implementation practices to accelerate the development and adoption of AI-native workflows across Business Process Engineering.\nCoaches and supports other team members and university employees in the application of AI-enabled workflow engineering and process transformation practices.\nSupports enterprise-level process and cultural transformation, partnering with stakeholders across organizational levels, to guide stakeholders through changes to roles, responsibilities, and ways of working.\nConstructs and communicates solution designs, project status, risks, and business outcomes to technical and non-technical stakeholders at all levels of the organization.\nCollaborates with professionals across the university to identify emerging technologies and opportunities that advance the institution's strategic objectives and student-obsessed mission.\nResponds with urgency to organizational needs, exercises sound technical and business judgment, and takes accountability for delivering measurable results.\nWorks 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.\nPerforms other job-related duties as assigned.\nQualifications\nKnowledge, Skills, and Abilities\nKnowledge of applied artificial intelligence, large language models (LLMs), agentic AI concepts, and their application in business workflow transformation.\nProficiency in programming and software development fundamentals, including the ability to develop, debug, and maintain working solutions using languages such as Python.\nKnowledge of APIs, MCPs, system integration, data structures, and workflow orchestration to connect AI agents with enterprise applications and approved data sources.\nFamiliarity with AI development frameworks, automation platforms, and tools for building and evaluating AI-enabled workflows.\nUnderstanding of AI evaluation techniques, testing methodologies, error handling, monitoring, and responsible AI practices, including appropriate human oversight and access controls.\nAbility to analyze complex business processes, identify improvement opportunities, and translate business needs into practical technical solutions.\nKnowledge of process improvement methodologies, workflow design, and business process architecture mapping.\nAbility to analyze operational data, establish performance measures, and draw actionable insights to guide solution design and optimization.\nAbility to identify and mitigate technical, operational, and implementation risks.\nStrong written and verbal communication skills for presenting recommendations to senior leadership and explaining technical concepts to non-technical stakeholders.\nAbility to solve complex problems, experiment with emerging technologies, and deliver practical solutions in ambiguous environments.\nWorking knowledge of project management methodologies, particularly Agile or iterative development approaches, and experience collaborating on cross-functional initiatives.\nExcellent problem-solving skills.\nInvestigates appropriate resources and involves partners.\nFuture 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.\nAbility to draw on facts collected from a broad knowledge of the university's goals and processes.\nAbility to be adaptable. Tackles obstacles appropriately. Comfortable with ambiguity.\nAccountable to others; does what it takes to get the job done. Actions are consistent with words. Follows through on commitments and exhibits exceptional integrity.\nDisplays commitment to the organization and to personal growth.\nIs self-motivated and able to motivate and inspire others.\nAsserts self appropriately to champion ideas. Tells the truth in a direct and constructive manner.\nSelf-directs with a strong tendency for action. Leads the way to improve performance and engineer innovative solutions.\nDisplays keen interest in students and the organization.\nExcellent 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.\nAbility to think strategically and systemically, connecting institutional goals, business capabilities, processes, people, data, and technology to identify and shape AI-enabled enterprise transformation opportunities.\nStrong 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.\nEducation\nBachelor’s degree in computer science, Software Engineering, Information Systems, Industrial Engineering, Operations Research, or another relevant engineering, business, or technical discipline\nExperience\n5 years of related experience in software development, AI-enabled solutions, workflow automation, systems integration, or business process engineering.\nExperience in lieu of education\nEquivalent 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.\nPreferred Qualifications\nMaster's Degree in a relevant technical or engineering discipline.\nExperience implementing human-in-the-loop AI workflows and defining AI evaluations.\nExperience with Claude, Claude Code, or comparable enterprise generative AI platforms.\nExperience designing and building AI-enabled applications, agentic workflows, or intelligent automation solutions.\nExperience integrating applications and enterprise systems using APIs and other integration methods.\nExperience with AI evaluation, testing, monitoring, and implementation of appropriate controls.\nPrior Business Process Engineering, process improvement, or enterprise transformation experience, including designing future-state operating models and driving cross-functional value aligned with organizational strategy.\nExperi...","description_format":"text","description_chars":14215,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Parental leave","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Higher Education","E-learning"],"lifecycle":[{"event":"open","at":"2026-11-13T13:01:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":2,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 106 · green card filings: 6","filings_12m":106,"filings_prev_12m":37,"green_card_filings_12m":6,"median_offered_wage_usd":152768,"route":null,"cap_exempt":true,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of 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