AIML 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:

• Design and implement scalable ML solutions using state-of-the-art generative models
• Fine-tune and optimize large language models (LLMs) for domain-specific applications
• Collaborate with cross-functional teams to integrate AI capabilities into products and services
• Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning
• Develop pipelines for data preprocessing, model training, evaluation, and deployment
• Ensure model performance, fairness, and interpretability through rigorous testing and validation
• Mentor junior engineers and contribute to knowledge sharing within the team
• 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

Qualifications - External

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field
• 7+ years of experience in AI/ML engineering, with at least 2 years focused on Agentic AI
• Generative AI Expertise: Experience in - Agentic AI, LLMs, Google ADK, Anthropic MCP,  multi-agent frameworks. Prompt engineering, Evaluation frameworks, Observability
• Cloud Platforms: Hands-on experience with GCP, Azure, or AWS for deploying AI applications
• Containerization and Orchestration: Experience with Docker and Kubernetes
• Database Expertise: Knowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases
• Programming Languages: Proficiency in Python and experience with FastAPI (asynchronous implementation)
• Proven excellent problem-solving skills and ability to work in a fast-paced environment
• Performance Optimization: Proven ability to conduct performance testing and optimize backend systems.

 

Preferred Qualifications:

• AI experience in Classical ML & Deep learning
• Knowledge of ReAct, HIL etc. frameworks for multi-agent AI systems
• Familiarity with CI/CD pipelines and DevOps practices
• Logging Tools: Proficiency in Splunk for logging and diagnostics
• Understanding of ethical AI practices and governance frameworks
• Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization