Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. As a Senior AI/ML Engineer, you will lead the design and implementation of AI/ML Voice Bot solutions, improving healthcare operations and patient outcomes while mentoring a team and collaborating with various stakeholders.
Responsibilities:
- Lead and contribute to the design and hands-on implementation of AI/ML Voice bots that enables Optum to deliver self-service voice bot solutions
- Design, develop, and implement Voice Bot models using GenAI (LLMs, agentic frameworks) and/or traditional ML on the cloud
- Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation
- Partner with product managers, data scientists, prompt designers, engineers, and business stakeholders to translate business requirements into scalable AI voice bot systems
- Leverage AI assisted tools for design, implementation, code reviews, and testing
- Ensure the delivery of high-quality, maintainable, and efficient code and specifications. Lead by example to deliver product quality the first time
- Drive the full lifecycle of AI/ML initiatives-from problem definition and data exploration to agent development, deployment, and monitoring. Define project scope, success metrics, and timelines in collaboration with cross-functional teams and ensure timely delivery while not compromising on quality
- Stay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems. Embrace and promote a culture of innovation through rapid iteration, experimentation and data driven decision-making
- Be a trusted technical advisor to management, internal stakeholders, and customers
- Mentor and lead other engineers to reach their potential
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
Requirements:
- Undergraduate degree or equivalent experience
- 3+ years of experience in Python programming
- 3+ years of professional experience in Voice Bot software development, with 1+ years of focused on AI/ML or Generative AI projects
- 2+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
- 1+ years of DevOps experience
- 1+ years of Git action and CI/CD experience needed
- Demonstrated experience with RESTful API design, implementation, and documentation
- Prompt engineering experience
- Experience leveraging Large Language Models (LLMs)
- Hands-on experience with the Google AI Development Kit (ADK) or building/integrating AI Agents (e.g., using Vertex AI Agent Builder, Agentic Space)
- Experience with the challenges of delivering and monitoring LLM based cloud systems into production
- Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences