AI/ML Engineer - Remote

About The Company

Optum Insight is a leading organization dedicated to transforming the healthcare industry through innovative data management and technology solutions. Our mission is to improve the flow of health data and information, creating a more connected and efficient healthcare system. By removing friction and fostering alignment between care providers, payers, and consumers, we aim to enhance health outcomes while reducing costs. Our expertise spans industry-leading analytics, AI-driven platforms, and cloud-native solutions that empower organizations to optimize risk management, quality, and revenue growth. Committed to making a positive impact, Optum Insight continuously invests in cutting-edge technology and talented professionals to drive meaningful change in healthcare delivery.

About The Role

We are seeking a highly skilled and innovative AI Architect to join our dynamic team. In this role, you will be responsible for designing and leading the development of multi-agent AI systems that underpin our modern platform. You will own the architecture for capabilities such as real-time voice translation, voice-based assessments, call quality audits, and advanced Document AI solutions. Your expertise will help accelerate investigative processes, surface risks early, and enable complex questions to be answered with clarity and explainability. Additionally, you will play a critical role in leveraging real-time machine learning and graph analytics to detect emerging fraud hotspots, uncover collusive networks, and prevent improper payments. This position offers the opportunity to set technical standards, guide cross-functional teams, and influence the future of agentic AI at scale within a cloud-native environment on Azure. The role provides flexibility to work remotely within the U.S., with some in-office requirements for candidates in Minneapolis or Washington, D.C.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent professional experience
• 8+ years of experience in building production software, including at least 3 years as a technical lead for AI or ML product development
• 5+ years of professional experience with Python and hands-on use of ML/NLP libraries such as PyTorch, Hugging Face, or scikit-learn, including deploying models in production
• 3+ years of experience building and operating Spring Boot microservices, including API design, automated testing, CI/CD pipelines, and incident management
• Proven experience in developing LLM-based systems that utilize tool calling or function calling for external service integration
• Experience with retrieval augmented generation (RAG), vector search, embeddings, and external knowledge integration
• Hands-on experience deploying and managing workloads on Azure using services like Azure OpenAI, Azure Functions, Event Hubs, Cognitive Search, and Cosmos DB
• Authorization to work in the United States without current or future employer-sponsored visa sponsorship

Responsibilities

• Architect and evolve multi-agent AI platforms that enable reasoning, planning, and interaction with external tools via large language models (LLMs) and modular service layers
• Define standards, best practices, and technical vision for AI orchestration across multiple product lines, including voice agents, fraud detection, and agentic workflows
• Guide the adoption of frameworks such as LangChain, AutoGen, and Semantic Kernel; integrate emerging protocols like Model Context Protocol (MCP) to enhance tool and agent interoperability
• Lead the design of agentic user interfaces, enabling LLMs to serve as intelligent interfaces to enterprise tools and APIs
• Architect full-stack voice agent pipelines, covering automatic speech recognition (ASR), multi-turn dialogue, text-to-speech (TTS), and telephony integrations (SIP, Twilio, etc.)
• Oversee development and deployment of ML models for fraud detection and anomaly identification, ensuring scalability, explainability, and real-time responsiveness
• Lead the deployment of AI/ML systems using Azure cloud services, ensuring security, observability, and cost efficiency
• Mentor engineering teams, conduct architecture reviews, and drive cross-team technical delivery in a globally distributed environment
• Establish standards for AI governance, MLOps, experimentation, monitoring, CI/CD pipelines, and lifecycle management of models

Benefits

• Competitive salary ranging from $145,500 to $249,500 annually, based on experience and qualifications
• Comprehensive benefits package including health, dental, and vision insurance
• Incentive and recognition programs to reward outstanding performance
• Equity stock purchase options and 401(k) retirement contributions
• Flexible remote work arrangements within the U.S., with in-office requirements for certain locations
• Opportunities for professional growth, development, and career advancement within a forward-thinking organization