{"id":3545730,"url":"https://alion.io/job/ups-senior-manager-aiml-engineering-flex","title":"Senior Manager AI/ML Engineering (Flex)","company":{"id":37664,"name":"UPS","domain":"ups.com","url":"https://alion.io/company/ups","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":83,"open_postings":2199,"ghost_share":0.217,"stale_share":0.106,"repost_share":0.421,"time_to_fill_p50_days":9,"computed_at":"2026-10-31T05:58:55Z"}},"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":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128172,"max":272736,"currency":"USD","period":"year","gross":null,"usd_annual":272736},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Vertex AI","optional":false},{"name":"Anthropic","optional":true},{"name":"Gemini","optional":true},{"name":"Git","optional":true},{"name":"Grafana","optional":true},{"name":"IAM","optional":true},{"name":"Kubernetes","optional":true},{"name":"Langfuse","optional":true},{"name":"LLMOps","optional":true},{"name":"Neo4j","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-30T20:39:08Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T12:26:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Before you apply to a job, select your language preference from the options available at the top right of this page.\nExplore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.\nJob Description:\nTHIS POSITION IS HYBRID AND WILL REQUIRE CANDIDATES TO WORK IN THE FOLLOWING UPS IT LOCATIONS: NEW JERSEY, ATLANTA, MARYLAND, AND KENTUCKY OFFICE 3 DAYS A WEEK\nWe are seeking a highly skilledSenior Manager AI/ML Engineering to lead the design, development, and production delivery of enterprise AI applications incorporating Generative AI, agentic AI, cloud-native technologies, and enterprise systems. This role supports an enterprise business intelligence platform that delivers domain AI agents across finance and HR areas such as payroll, benefits, labor contracts, and financial planning, coordinated through cross-domain orchestration and an ontology-driven knowledge graph. The ideal candidate combines strong engineering and architecture fundamentals with hands-on experience building AI-powered solutions using technologies such as LangGraph, LangChain, GCP, RAG, MCP, knowledge graphs, and modern observability frameworks. This role requires the ability to determine where AI adds value and where deterministic workflows, APIs, rules, and traditional application patterns provide the better solution.\nKey Responsibilities\nLead end-to-end AI/ML engineering across frontend, backend, AI/agent layers, orchestration, integrations, data, and cloud services, and mentor a team of AI/ML and software engineers.\nDefine scalable, reusable architecture patterns supporting multiple business capabilities, personas, and workflows.\nDetermine appropriate use of deterministic workflows, APIs, rules, AI agents, and hybrid approaches based on reliability, performance, explainability, cost, and maintainability.\nArchitect stateful and long-running workflows, including session and context management, checkpoints, retries, idempotency, human-in-the-loop interactions, and recovery patterns.\nDesign and build agentic solutions using LangGraph, LangChain, RAG, APIs, MCP, and other orchestration patterns, including semantic routing, coordinator/supervisor agents, and cross-domain multi-agent orchestration.\nundefined\nDeliver domain AI agents for business areas such as payroll, benefits, labor contracts, financial planning, and competitive positioning, including cross-domain questions, scenario modeling, and financial analysis that reduce reliance on spreadsheets and manual reporting.\nDefine secure multi-persona architectures with appropriate authentication, authorization, entitlements, data-access boundaries, and service identities.\nArchitect integrations with enterprise APIs, transactional and legacy systems, SaaS platforms, and data services using REST APIs, Apigee/API gateways, MCP, messaging, and event-driven patterns.\nDefine application data, semantic retrieval, vector search, and knowledge architecture patterns using appropriate relational, graph, vector, and search technologies, including ontology design and federated knowledge graphs (e.g., Stardog) that ground agent responses in governed enterprise data.\nDefine non-functional requirements for scalability, availability, performance, resiliency, security, maintainability, recoverability, and cost efficiency.\nDesign cloud-native architectures on Google Cloud Platform (GCP) using services such as Vertex AI, GKE, Cloud Run, AlloyDB, BigQuery, Pub/Sub, and Eventarc.\nEstablish patterns for AI observability, distributed tracing, LLM evaluation, accuracy benchmarking, monitoring, Responsible AI, and operational readiness, including test-question sets, UAT support, defect triage, and production release gates.\nDefine reference architectures, engineering standards, architecture decision records (ADRs), and reusable patterns, and lead engineering teams through hands-on implementation and code reviews.\nEvaluate architecture alternatives through prototypes and proof-of-concepts and clearly communicate technical trade-offs to engineering, product, security, platform, and business stakeholders.\nGuide CI/CD, Infrastructure as Code, containerization, DevSecOps, and production deployment patterns.\nRequired Qualifications\nBachelor’s degree in computer science, Engineering, or a related technical field.\n12+ years of experience designing and delivering enterprise applications, including significant hands-on experience building and deploying AI/ML or LLM-based solutions in production and leading engineering teams.\nStrong experience with distributed systems, APIs, microservices, event-driven architecture, data persistence, state management, and enterprise integration patterns.\nHands-on experience building solutions using Generative AI, LLMs, agentic AI, RAG, and tool-calling architectures, with strong Python skills and experience in prompt engineering, embeddings, and LLM evaluation.\nExperience with LangGraph and/or equivalent agent orchestration frameworks, including stateful workflow and multi-agent patterns.\nExperience building cloud-native AI solutions on GCP, including enterprise data platforms such as BigQuery and Databricks.\nStrong experience integrating applications with enterprise APIs, transactional systems, and legacy platforms.\nExperience with enterprise security patterns including identity, authentication, authorization, service identity, secrets management, and least privilege.\nExperience with production observability, distributed tracing, resiliency, performance engineering, and operational readiness.\nAbility to develop prototypes and reference implementations to validate architectural decisions.\nStrong communication and stakeholder-management skills with the ability to translate complex business requirements into scalable technical solutions.\nPreferred Qualifications\nMaster's degree in computer science, Artificial Intelligence, Data Engineering, or a related discipline.\nExperience with MCP, LangFuse, OpenTelemetry, Grafana, Vertex AI, Gemini, IBM watsonx, OpenAI, or Anthropic ecosystems.\nExperience with semantic and knowledge technologies such as Stardog, Neo4j, RDF, OWL, or SPARQL, including ontology modeling and federated knowledge graph delivery.\nExperience with vector search, embeddings, semantic retrieval, and enterprise knowledge platforms.\nKnowledge of Responsible AI, AI governance, LLMOps, and MLOps.\nExperience designing reusable enterprise AI capabilities or supporting large-scale application modernization.\nDomain experience with finance and HR data such as payroll, benefits, labor contracts, or financial planning and reporting.\nRelevant cloud, AI, security, or architecture certifications.\nTechnical Skills\nArchitecture: Distributed systems, microservices, REST APIs, event-driven architecture, stateful workflows, integration patterns\nAI & Agentic: Generative AI, LLMs, LangGraph, LangChain, RAG, MCP, tool calling, semantic routing, multi-agent and human-in-the-loop patterns\nAI/ML Engineering: Python, prompt engineering, embeddings, model selection and tuning, LLM evaluation and accuracy benchmarking\nCloud: GCP, Vertex AI, GKE, Cloud Run, BigQuery, AlloyDB, Pub/Sub, Eventarc\n Data & Knowledge: PostgreSQL, BigQuery, Databricks, relational data modeling, vector search, semantic retrieval, ontologies, knowledge graphs (Stardog)\nSecurity: IAM, RBAC/ABAC, OAuth/OIDC, service identity, secrets management\nObservability: LangFuse, OpenTelemetry, Grafana, distributed tracing, AI/LLM evaluation and monitoring\nEngineering: Git, CI/CD, Terraform, DevSecOps, containerization, automated testing\nAdditional Information\nJob Grade: 304\nPay Range:\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,172/year to 272,736/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. Hired applicants may be eligible for Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.\nEmployee Type:\nPermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.\nOther Criteria:\nUPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/nationalorigin/veteran/disability/age/sexualorientation/gender identity or any other characteristic protected by law.\nBasic Qualifications:\nMust be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.","description_format":"text","description_chars":9740,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":true,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Freight Forwarding","Customs Brokerage","Courier Services"],"lifecycle":[{"event":"open","at":"2026-10-30T20:39:08Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":9,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":272736,"is_top_pay":true},"html_url":"https://alion.io/job/ups-senior-manager-aiml-engineering-flex","json_url":"https://alion.io/job/ups-senior-manager-aiml-engineering-flex.json","meta":{"generated_at":"2026-10-31T16:03:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25107,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":37664},"rest":"https://alion.io/mcp/rest/get_company?id=37664"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fups-senior-manager-aiml-engineering-flex"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fups-senior-manager-aiml-engineering-flex"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fups-senior-manager-aiml-engineering-flex"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ups-senior-manager-aiml-engineering-flex\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fups-senior-manager-aiml-engineering-flex"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3545730}},{"tool":"search_jobs","arguments":{"company":"ups.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3545730},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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