Solution Lead - AI Engineer

About the role

UPS is looking for a strategic, hands-on Lead AI Platform & Automation Engineer to own and scale its enterprise AI platform. The role is the primary owner of the IBM watsonx and Google Cloud Vertex AI platforms, supporting Azure adoption, standardization, automation and governance. It also leads a team covering AI model and application onboarding, pipeline automation, DevSecOps, BI tooling and AI governance, including maintenance of watsonx.governance and Vertex AI.

Key responsibilities

• Lead IBM watsonx and Vertex AI platforms, including configuration, governance and operational maturity, and drive onboarding and enablement for data science, engineering and analytics teams
• Standardize reusable frameworks, templates and infrastructure patterns across the platforms
• Architect and run enterprise CI/CD and MLOps pipelines for model training, tuning, evaluation, deployment, data ingestion and streaming, and IaC
• Build reusable templates for AI applications, workflows and serving endpoints in watsonx.ai and Vertex AI
• Design agentic AI pipelines using LLMs, orchestration agents and decision engines, and integrate them with platform capabilities
• Operationalize AI governance with watsonx.governance, including model approval workflows, metadata tracking, bias detection and explainability, working with legal, compliance and security teams
• Integrate DevSecOps into pipelines, automating vulnerability scans, access policies and secrets management
• Guide BI teams on Power BI and Looker, and oversee data modeling and semantic layer standardization
• Lead and mentor a team of AI platform engineers, MLOps practitioners, BI analysts and DevSecOps engineers

Required profile

• Bachelor's or master's degree in computer science, engineering or a related field
• 8+ years in cloud engineering, MLOps or platform leadership roles
• 3+ years leading enterprise platform delivery and infrastructure automation
• Proven experience managing IBM watsonx and Vertex AI in production
• Experience delivering secure, automated pipelines with Terraform, GitOps and containerized workflows
• Experience implementing AI governance and compliance with commercial tools and internal frameworks

Required skills

• Platforms: IBM watsonx.ai, watsonx.governance, Vertex AI, Azure ML
• Automation: Terraform, Ansible, GitHub Actions, GitLab CI, Azure DevOps
• Languages: Python, Bash, YAML
• Containers: Docker, Kubernetes
• ML tools: MLflow, TFX or similar
• BI tools: Power BI, Looker
• Preferred: GCP, IBM or Azure AI/MLOps certifications, Agentic AI experience (LangChain, IBM Orchestrate), NIST/EU AI Act familiarity, PaaS platform experience