Senior AI/ML Engineer - Remote

• Responsible AI & Compliance
• Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines)
• Ensure Model Quality, Evaluation, Security & Safety
• Implement Observability, Operations excellence
• Drive Architecture, Governance & Engineering Standards
• Cross Functional Leadership & Collaboration

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 5+ years in Observability & Monitoring

• SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (OpenTelemetry style); alerting (eg, Prometheus/Grafana equivalents)

• 3+ years in Programming & Packaging

• Python (typing, pytest, packaging), SQL; shell for automation

• 3+ years in ML / DL Frameworks

• scikit learn, XGBoost; PyTorch or TensorFlow/Keras for deep learning

• 3+ years in GenAI & Agents

• LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration; model hubs (eg, Model Garden / Hugging Face)

• 3+ years in Pipelines & Orchestration

• Kubeflow or Vertex AI Pipelines; Apache Airflow/Composer

• 3+ years in Model Registry, Experiment Tracking & A/B

• Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout

• 3+ years in Serving & 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 & Compliance

• Explainability/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

• Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we're adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our "shift left" strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.