Manager AI ML Engineering - Amazon Lex Google ADK Or Dialogflow

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.

We are looking for an experienced Engineering Manager - AI/ML to lead the delivery of AI-powered solutions across enterprise and customer-facing platforms. This role is primarily focused on execution, Agile delivery, engineering excellence, and AI adoption, while also mentoring a high-performing engineering team.

Primary Responsibilities

• Delivery and Execution
• Own end-to-end delivery of Conversational AI Platforms(Voice/Chat)
• Drive Agile execution through planning, prioritization, dependency, and risk management
• Ensure predictable delivery, quality outcomes, and operational excellence
• Technical Leadership
• Lead the design and implementation of AI-powered chatbot and voice bot solutions
• Drive adoption of cloud-native architectures, CI/CD, Terraform, and Shift-Left practices
• Ensure solutions are scalable, secure, and compliant with enterprise standards
• AI Adoption and Innovation
• Accelerate the adoption of AI across products and business processes
• Drive solutions leveraging Conversational AI, Generative AI, and intelligent automation
• Promote Responsible AI and AI Development Lifecycle (AIDLC) practices
• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
• Stakeholder Management
• Partner with Product, Architecture, Security, and Business teams to deliver outcomes
• Manage priorities, dependencies, risks, and executive communications
• Align technology execution with business objectives and customer needs
• People Leadership
• Mentor and develop engineers and technical leads
• Foster a culture of accountability, collaboration, and continuous improvement
• Support hiring, performance management, and talent development
• 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
  

• Experience
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 9+ years of software engineering experience with 2+ years in technical or people leadership roles
• Proven track record of delivering complex enterprise applications and programs
• Conversational AI
• Hands-on experience with Amazon Lex, Google Dialogflow, and Google ADK
• Experience building Chatbots, Voice Bots, and Virtual Assistants
• Experience integrating AI solutions with CCaaS Platforms
• Engineering & DevOps
• Experience with CI/CD pipelines, Terraform, and cloud-native architectures
• Solid understanding of DevOps, DevSecOps, and Shift-Left engineering practices
• Proficiency in Python, Node.js, or TypeScript
• AI & Platforms
• Experience implementing AI solutions in enterprise environments
• Understanding of AIDLC and Responsible AI principles
• Familiarity with LLMs, RAG, and Agentic AI frameworks
• Leadership & Delivery
• Solid Agile delivery experience using Scrum, Kanban etc.
• Proven excellent stakeholder management and cross-functional collaboration skills
• Proven ability to balance delivery commitments, innovation, and technical excellence
  

• Certifications in AI/ML, Cloud, Agile, Scrum, or DevOps
• Experience with AWS, Azure, or Google Cloud AI services
• Experience with Genesys, NICE, Amazon Connect, Five9, or similar CCaaS platforms