Senior AI/ML Engineer

Requisition Number: 2341785
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. Generally work is self-directed and not prescribed.
Primary Responsibilities:

• Responsible AI and Compliance
• Building and Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines)
• Ensure Model Quality, Evaluation, Security and Safety
• Implement Observability, Operations excellence
• Drive Architecture, Governance and Engineering Standards
• Cross-Functional Leadership and Collaboration
• Works with less structured, more complex issues
• Serves as a resource to others
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent experience
• 5+ years in Observability and Monitoring
  • SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (Open Telemetry-style); alerting (e.g., Prometheus/Grafana equivalents)
• 3+ years in Programming and Packaging
  • Python (typing, pytest, packaging), SQL; shell for automation
• 3+ years in ML / DL Frameworks
  • scikit-learn, XG Boost; PyTorch or TensorFlow or Keras for deep learning
• 3+ years in GenAI and Agents
  • LLM evaluation methods; RAG pipelines; prompt/route registries; Lang Chain-style orchestration; model hubs (e.g., Model Garden / Hugging Face)
• 3+ years in Pipelines and Orchestration
  • Kubeflow or Vertex AI Pipelines; Apache Airflow/Composer
• 3+ years in Model Registry, Experiment Tracking and A/B
  • Model registry (e.g., Vertex AI Model Registry/MLflow); experiment tracking; canary/A-B rollout
• 3+ years in Serving and Inference
  • Batch/online endpoints, autoscaling; versioning and rollback strategies
• 3+ years in MLOps / DevOps
  • CI/CD (GitHub Actions or equivalent); IaC; secrets/certs; containerization (Docker) and orchestration
    (Kubernetes).
• 3+ years in Responsible AI and Compliance
  • Explainability or fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit-ready evidence
• 3+ years in Security
  • Access controls, key management, secrets hygiene; secure data paths end-to-end
• 1+ years in Cloud Platforms
  • Google Cloud (Vertex AI, GPUs/TPUs), plus experience with AWS/Azure AI services #AIForBetterHealthcare