{"id":1732449,"url":"https://alion.io/job/ups-solution-lead-ai-engineer","title":"Solution Lead - AI Engineer","company":{"id":37664,"name":"UPS","domain":"ups.com","url":"https://alion.io/company/ups","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":120,"ghost_share":0,"stale_share":0.083,"repost_share":0.042,"time_to_fill_p50_days":7,"computed_at":"2026-10-08T05:49:30Z"}},"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":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Looker","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"EU AI Act","optional":true},{"name":"LangChain","optional":true}],"status":"closed","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-09T02:21:17Z","board_verified":false,"closed_at":"2026-10-09T02:21:17Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"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:\nJob Summary\nWe are looking for a strategic and hands-on Lead AI Platform & Automation Engineer to own and scale our enterprise AI platform capabilities. This role will serve as the primary owner of the IBM watsonx platform and Google Cloud Vertex AI platform, while providing support to Azure driving adoption, standardization, automation, and governance across the organization. The role also includes leading a team responsible for day-to-day AI model and application onboarding, pipeline automation, DevSecOps integration, BI tooling, and AI governance-including maintenance of IBM watsonx.governance and vertex AI.\nThis is a high-impact position suited for a technically strong leader who can lead technical team, architect solutions, scale platforms, and align multiple teams across engineering, data science, and business domains.\nKey Responsibilities\nPlatform Leadership\nServe as the lead owner of IBM watsonx and Google Vertex AI platforms, overseeing configuration, governance, and operational maturity.\n\nDrive platform onboarding strategy, enablement, and hands-on support across data science, engineering, and analytics teams.\n\nStandardize reusable frameworks, templates, and infrastructure patterns for both platforms to accelerate project delivery.\n\nAI & ML Pipeline Automation\nArchitect and manage enterprise-wide CI/CD and MLOps pipelines for:\n\nModel training, tuning, evaluation, and deployment\n\nData ingestion, transformation, and streaming\n\nInfrastructure provisioning and teardown (IaC)\n\nBuild and maintain reusable templates for AI applications, workflows, and serving endpoints in IBM watsonx.ai and Vertex AI.\n\nAgentic AI Enablement\nDesign and operationalize pipelines for Agentic AI systems using LLMs, orchestration agents, and decision engines.\n\nIntegrate intelligent agent workflows with platform capabilities and monitor lifecycle behavior and governance adherence.\n\nAI Governance (incl. watsonx.governance)\nImplement and operationalize AI governance frameworks using IBM watsonx.governance.\n\nDefine model approval workflows, track metadata, enforce responsible AI policies, and ensure transparency, bias detection, and explainability.\n\nCollaborate with legal, compliance, and information security teams to embed AI governance across all AI/ML systems.\n\nDevSecOps & Automation\nIntegrate DevSecOps practices into pipelines-automating vulnerability scans, access policies, and secrets management.\n\nEmbed security compliance and quality gates into all CI/CD workflows across AI and application domains.\n\nBusiness Intelligence & Semantic Modeling\nProvide architectural guidance to BI teams using Power BI and Looker.\n\nOversee data modeling, semantic layer standardization, and connectivity to enterprise data lakes and warehouses.\n\nTeam Leadership\nLead and mentor a cross-functional team of AI platform engineers, MLOps practitioners, BI analysts, and DevSecOps engineers.\n\nDefine goals, delivery milestones, documentation standards, and best practices for scalable operations.\n\nQualifications\nEducation\nBachelor’s or master’s in computer science, Engineering, or related technical field.\n\nExperience\n8+ years in cloud engineering, MLOps, or platform leadership roles.\n\n3+ years leading enterprise platform delivery and infrastructure automation.\n\nProven experience managing IBM watsonx and Vertex AI in production environments.\n\nHands-on delivery of secure, automated pipelines using Terraform, GitOps, and containerized workflows.\n\nExperience implementing AI governance and compliance using commercial tools and internal frameworks.\n\nFamiliarity with BI tools (Power BI, Looker) and semantic modeling techniques.\n\nTechnical Skills\nPlatforms: IBM watsonx.ai, watsonx.governance, Vertex AI, Azure ML\n\nAutomation: Terraform, Ansible, GitHub Actions, GitLab CI, Azure DevOps\n\nLanguages: Python, Bash, YAML\n\nContainers: Docker, Kubernetes\n\nML Tools: MLflow, TFX, or similar\n\nGovernance: Bias detection, metadata tracking, model lineage, risk management\n\nPreferred Qualifications\nCertifications: GCP, IBM, or Azure AI/MLOps certifications\n\nExperience with Agentic AI systems (e.g., LangChain, IBM Orchestrate, or custom frameworks)\n\nFamiliarity with NIST, EU AI Act, or internal model risk governance frameworks\n\nPrior experience deploying internal platform-as-a-service offerings for AI/ML\n\n Employee Type:\nPermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.","description_format":"text","description_chars":5012,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Freight Forwarding","Customs 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