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:
- Must have exp. to collaborate and work with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
- Work with Sr. AI/ML engineers and Leadfor Experiments with novel model architectures or algorithms
- Up to date with cutting-edge AI models, including deep learning, reinforcement learning, and generative architecture
- 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
- 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
Required Qualifications:
- Bachelor's or master's degree in computer science, Engineering, or a related field
- 5+ years of experience in software development
- 2+ 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
- Solid understanding of RAG architecture including knowledge of vector databases and semantic search
- Advanced proficiency in Python for AI/ML and automation
- Proven expertise in Azure Document Intelligence, OCR, and Databricks
- Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
- Proven lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques.
- Proven drive end-to-end delivery of AI-powered solutions across cross-functional teams
- Proven excellent communication and stakeholder management skills.
Preferred Qualifications:
- 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
- Agentic AI concepts & Implementation
