Senior AI ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Fine-tunes a large language model on proprietary data to improve its performance
• Developing new machine learning models from scratch
• Experiments with novel model architecture or algorithms
• Conducts and publishes research on AI models
• Research and develop cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures
• Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
• Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
• Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
• Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
• Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
• Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
• Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
• Mentor junior researchers and contribute to the development of internal AI knowledge bases and best practices
• Partner with data engineering and product teams to integrate AI solutions into production systems
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 8+ years of experience in software development
• 3+ years of experience delivering solutions with a focus on AI/ML
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs
• Hands-on experience with Azure Functions, Azure Monitor, and App Insights
• Experience with Cloud-based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
• Experience with frontend development using React or Angular, and backend services using Java or .NET
• Experience to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques.
• Experience to drive end-to-end delivery of AI-powered solutions across cross-functional teams
• Solid understanding of RAG architecture including knowledge of vector databases and semantic search
• Expertise in Azure Document Intelligence, OCR, and Databricks
• Expertise in enterprise search, NLP, Speech AI, Vision AI, Supervised and unsupervised ML
• Advanced proficiency in Python for AI/ML and automation
• Proven excellent communication and stakeholder management skills

• Azure certifications (e.g., Azure AI Engineer Associate, Azure Developer Associate)
• Experience with prompt engineering and fine-tuning LLMs
• Experience working in agile development environments
• Knowledge with Agentic AI concepts and Implementation