{"id":4306395,"url":"https://alion.io/job/united-airlines-lead-ai-process-engineer","title":"Lead AI Process Engineer","company":{"id":18409,"name":"United Airlines","domain":"united.com","url":"https://alion.io/company/united","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":23,"ghost_share":0,"stale_share":0.087,"repost_share":0.217,"time_to_fill_p50_days":8,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":117610,"max":153146,"currency":"USD","period":"year","gross":null,"usd_annual":153146},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"OpenAI","optional":true},{"name":"UiPath","optional":true}],"status":"live","first_seen_at":"2026-11-14T07:55:57Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T07:55:57Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.Come join us to create what’s next. Let’s define tomorrow, together.\nDescription\nHelp us redesign how the world’s largest airline works.\nUnited is building the best airline in aviation history, and AI is central to how we run operations, serve customers, and support employees. On our AI Enablement team, you’ll rethink how work gets done across Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, and HR. This work is hard in the best way. It’s safety-critical, runs around the clock, and spans many systems, teams, and stakeholder groups. If you want your redesigns tested against real operating conditions, this is the place.\nYou’ll own the business side of transformation. That means partnering with business leaders to redesign core processes end to end, then scaling them as AI-enabled operations that change how work actually gets done.\nYou’ll work alongside Forward Deployed AI Engineers and technology teams, who own architecture and deployment, while you own process design, requirements, and business outcomes. Success is measured by changed operations and realized value, not just slide decks or pilots.\nWhat you’ll do:\nFind the right opportunities\nAnalyze end-to-end processes for friction, bottlenecks, and failure points, using process mining, value-stream mapping, Lean Six Sigma, and root-cause analysis \nAssess process maturity, AI readiness, data availability and operational feasibility across business areas and build a prioritized portfolio based on value, feasibility, risk, and scalability \nTurn ambiguous business challenges into clear AI use cases with measurable outcomes \nDesign the future state\nChallenge established ways of working, policies, and process assumptions to identify opportunities to eliminate unnecessary work and fundamentally rethink how services and operations are delivered. \nPrototype and test future-state process concepts and workflows with business leaders and employees \nDesign workflows that blend AI, automation, and human judgment, including decision rights, human-in-the-loop controls, and escalation paths \nDetermine when AI is the right answer and when simpler automation or process simplification is more appropriate \nDefine the future operating model: roles, responsibilities, decision rights, process controls, and workforce implication \nWrite implementation-ready business requirements and acceptance criteria \nMake it real\nPartner with engineering, product, data, security, and governance teams from process design through implementation and launch \nLead process pilots, user acceptance, and operational readiness reviews \nValidate that implemented solutions reflect the intended future-state process, identifying gaps and driving resolution with business and technical teams. \nWork with change management and business leaders on training, communication, and adoption \nProve the value\nSet baselines and success metrics before launch, then track adoption, performance, and realized value \nBuild business cases and benefits-realization plans with clear ownership \nValidate that improvements in productivity and released capacity translate into measurable business outcomes, such as increased throughput, reduced operating costs, improved service, or better customer and employee experiences. \nMake every transformation easier than the last\nTurn what we learn in one business area into playbooks, frameworks, and standards that speed up the next one \ndevelop process transformation roadmaps and advise senior leaders on where AI can fundamentally change how work gets done \nFacilitate cross-functional workshops and coach teams to build AI capability across the organization \nQualifications\nWhat you bring (minimum qualifications)\nProven experience leading end-to-end business process engineering, or operational transformation in complex organization \nDemonstrated experience applying structured process improvement methods, such as Lean, Six Sigma, industrial engineering, process mining, value-stream mapping, or root-cause analysis. \nWorking fluency in generative and agentic AI (models, agents, retrieval, evaluation, reliability, security, governance), enough to partner credibly with engineers \nA track record of redesigning complex processes across functions and systems and measuring the results \nStrong analytical thinking, executive communication, and facilitation skills \nComfort with ambiguity and large-scale organizational change \nAbility to travel 30-40%, primarily domestic \n3+ years of relevant work experience \nMust be legally authorized to work in the United States for any employer without sponsorship \nSuccessful completion of interview required to meet job qualification \nReliable, punctual attendance is an essential function of the position \nWhat sets you apart (preferred qualifications)\nEnterprise generative or agentic AI implementation experience \nProcess mining (Celonis, Signavio), automation platforms (Power Platform, UiPath), or Microsoft AI ecosystem familiarity \nFamiliarity with enterprise AI ecosystems such as Microsoft Azure AI, Azure OpenAI, Microsoft Copilot or equivalent AI platforms. \nLean Six Sigma Black Belt or equivalent \nResponsible AI governance or risk management experience \nAirline, transportation, or other complex operations background \nExperience leading transformations where AI changed roles, decisions, and controls \n5+ years of relevant work experience\nThe base pay range for this role is $117,610.00 to $153,146.00.\nThe base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.\nYou may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.\nUnited Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. 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