Note: The job is a remote job and is open to candidates in USA. Optum Tech is a global leader in health care innovation. This is a senior AI leadership role focused on advancing Clinical Documentation Improvement and coding intelligence solutions through state-of-the-art machine learning and generative AI technologies.
Responsibilities
- Lead the design, development, and deployment of advanced AI/ML solutions to identify and drive clinical documentation improvement (CDI) opportunities across large-scale healthcare datasets
- Research, prototype, and productionize state-of-the-art AI approaches, including sequence models, Mamba architectures, CNNs, gradient boosting (e.g., XGBoost), and emerging LLM/GenAI techniques (RAG, prompt optimization, agent-based systems)
- Partner closely with product, engineering, clinical SMEs, and AI research teams to translate innovative AI approaches into scalable, production-ready solutions
- Serve as a technical leader and subject matter expert, guiding architecture decisions, model strategy, and experimentation frameworks to achieve step-change improvements in model accuracy and performance
- Drive model evaluation, benchmarking, and continuous improvement practices to meet stringent customer expectations and contractual performance commitments
- Collaborate with onshore stakeholders and customers, including participation in onsite engagements, to align AI solutions with real-world clinical workflows and business needs
- Navigate complex data environments with regulatory and offshore constraints, ensuring compliant, secure, and effective use of healthcare data
- Influence AI strategy and roadmap for key initiatives (e.g., OIO, CDI Reimagined, Chart Intelligence), while proactively assessing competitive and third-party technology risks
- Uphold responsible AI practices by embedding fairness, transparency, and accountability into model development and deployment lifecycles
- Mentor and elevate other data scientists, fostering a culture of technical excellence, innovation, and continuous learning
Skills
- 6+ years of experience applying machine learning, AI, and advanced analytics techniques, including experience developing and deploying production-grade AI/ML solutions
- Experience working with large, complex datasets and building scalable data science solutions
- Solid experience with LLM/GenAI techniques, including retrieval-augmented generation (RAG), prompt engineering, and agent-based workflows
- Demonstrated expertise in multiple ML paradigms, including deep learning, sequence modeling, and tree-based methods, with hands-on experience across diverse model architectures
- Solid Python programming expertise and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- Proven track record of driving measurable improvements in model accuracy, business outcomes, or product capabilities in high-stakes environments
- Demonstrated solid collaboration and communication skills, with experience working directly with business stakeholders, customers, and cross-functional teams
- Experience in healthcare, clinical data, or coding intelligence (ICD, CPT, SNOMED) domains
- Experience leading or influencing AI strategy across large programs or portfolios
- Experience working in regulated environments with data privacy, compliance, and security considerations
- Experience collaborating with geographically distributed teams, including onshore/offshore delivery models
- Working knowledge of SQL and data querying techniques
- Familiarity with clinical documentation improvement (CDI) workflows and healthcare revenue cycle processes
- Demonstrated ability to drive innovation in ambiguous, high-risk, and high-impact environments
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- Flexibility to work remotely from anywhere within the U.S.
Company Overview
Company H1B Sponsorship