[Hiring] Senior AI/ML Engineer Voice Bots @UnitedHealth Group

Role Description

As a Senior AI/ML engineer, you will provide team lead oversight for voice bots on omnichannel contact center platforms. We’re looking for a hands-on technical leader to design, build, and produce AI/ML and GenAI Voice Bot solutions that improve healthcare operations and patient outcomes. You will own end-to-end delivery—from problem framing and data pipelines to models, and ongoing monitoring—while mentoring a small team and partnering with product, data engineering, and clinical/operations stakeholders.

You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

• Lead and contribute to the design and hands-on implementation of AI/ML Voice bots that enable 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.

Qualifications

• 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 focused on AI/ML or Generative AI projects.
• 2+ years of experience with deploying and managing 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.

Preferred Qualifications

• 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.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (all benefits are subject to eligibility requirements).

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.