• The Lead AI Engineer designs and delivers AI and computer vision solutions on Microsoft Azure, focusing on scalable, production‑ready systems. • This role bridges data science and engineering and owns AI components end‑to‑end.

About the role You’ll own and expand our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. What you'll do - Architect, build, and deploy ML systems for object detection, segmentation, document understanding, and information extraction from complex building plans - Drive R&D across computer vision and/or NLP as applied to construction documents and related data - Develop multi-modal approaches that combine vision with language features for document analysis (LLMs/NLP). Familiarity with different RAG methods is a plus - Mentor junior engineers and help raise the bar on execution, code quality, and decision-making - Ensure systems are reliable, maintainable, testable, and observable in production Qualifications - 8+ years of experience in Machine Learning Engineering, with deep focus in computer vision - Expert Python skills, with strong experience in PyTorch and FastAPI - Proven work with segmentation models, detection frameworks, and OCR/document pipelines - Strong image processing fundamentals (OpenCV, geometric transforms, preprocessing, etc.) - Comfortable in Linux; hands-on with Docker/containerization for deployment - Experience building and maintaining MLops infrastructure (e.g., ClearML, MLflow) - Ability to design scalable, high-performance ML systems (not just prototypes) - Strong problem-solving ability and comfort operating independently in a fast-paced environment What Makes You a Great Fit - High agency: you ship, iterate, and fix what’s broken—without waiting for permission - You’ve delivered ML systems end-to-end in production (data → model → deployment → iteration) - You’re a strong engineer who cares about getting better—trajectory matters here - You communicate clearly, especially with a remote and cross-cultural team - You’re gritty and genuinely enjoy solving hard problems Bonus Points - Experience building systems for document reading / understanding - Ambitious, driven, and opinionated about quality and craft - Experience with deep learning inference frameworks (e.g., TensorRT, PyTorch compile) and optimizing inference performance - You keep up with current ML/AI developments and can apply them pragmatically What We Offer - Competitive salary + meaningful equity - Comprehensive benefits (health, dental, vision) - Professional development budget (courses, conferences, research exploration) - Real-world ML problems with direct impact - High growth potential

• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals • Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently • Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on • Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience • Build scalable, maintainable data pipelines to handle audio and other unstructured data • Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems • Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation • Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications

Requisition Number: 2341783 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. Primary Responsibilities: - 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. Required Qualifications: - 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 *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy 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. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 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. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.