LVT is hiring a Senior AI ML Engineer for the Claim Edit Hub team. You will be responsible for scaling AI to apply processing rules directly from source documentation via enterprise assets. Your core work will involve deriving rules and edits from documents like policies and exposing them via Agentic workflows to make them accessible in real time, supporting a 'shift left' strategy for claim edits.
What You'll Do
- Implement Responsible AI & Compliance practices.
- Build and productionize AI systems, including agentic services, APIs/SDKs, RAG/CAG, and end-to-end pipelines.
- Ensure Model Quality, Evaluation, Security & Safety.
- Implement Observability and drive operations excellence.
- Drive Architecture, Governance & Engineering Standards.
- Lead Cross Functional Collaboration.
What We're Looking For
- 5+ years in Observability & Monitoring: Implementing SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (OpenTelemetry style); alerting (e.g., 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 (e.g., 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 (e.g., 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.
Technical Stack
- Languages & Core ML: Python, SQL, scikit-learn, XGBoost, PyTorch, TensorFlow/Keras.
- GenAI & Orchestration: LangChain, Kubeflow, Vertex AI Pipelines, Apache Airflow/Composer, MLflow.
- Infrastructure & Ops: Docker, Kubernetes, GitHub Actions, OpenTelemetry, Prometheus, Grafana.
- Cloud: AWS, Azure.
Team & Environment
You will join the Claim Edit Hub team, focusing on scaling AI systems to streamline claim processing.
Benefits & Compensation
- Salary range: $91,700 to $163,700 annually.
- Comprehensive benefits package.
- Incentive and recognition programs.
- Equity stock purchase plans.
- 401k contribution.
Work Mode
This position follows a hybrid work model and is open to candidates located in the United States.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
