Optum Tech, part of UnitedHealth Group, is hiring an AI ML Engineer. In this role, you will fine-tune large language models on proprietary data and develop new machine learning models from scratch. You will conduct research on AI models and translate theoretical advancements into practical enterprise applications within our inclusive culture.
What You'll Do
- Fine-tune large language models on proprietary data to improve performance
- Develop new machine learning models from scratch
- Experiment with novel model architectures or algorithms
- Conduct and publish research on AI models
- Research and develop 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
What We're Looking For
- 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 leading the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques
- Experience driving 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
Nice to Have
- 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 of Agentic AI concepts and Implementation
Technical Stack
- OpenAI compatible APIs
- Azure Functions, Azure Monitor, App Insights
- Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
- GitHub, M365 Copilot
- PyTorch, TensorFlow, Scikit Learn
- React, Angular, Java, .NET
- Azure OpenAI, LLM Gateway
- Azure Document Intelligence, OCR
We are an equal opportunity employer committed to a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.
