Join Optum, a global leader in health optimization, and drive the future of AI/ML and Conversational AI solutions. This role focuses on building scalable, reliable, and secure software practices within our Contact Center Technology team, specifically leveraging Amazon LEX. You will be instrumental in advancing health outcomes by connecting people with the care and resources they need, all while fostering a culture of inclusion and innovation.

At Optum, we are dedicated to creating a healthier world for everyone. We believe in equitable care and are committed to addressing health disparities. Come be a part of our mission to make a significant impact on communities worldwide.

As a Senior Manager of AI/ML Engineering, you will lead and mentor engineering teams in developing cutting-edge AI/ML and Conversational AI solutions. This includes defining and executing technology roadmaps aligned with business objectives, and establishing metrics for success. You will drive Agile delivery across multiple teams, ensuring predictable execution through effective planning and risk management. Foster a culture of continuous improvement and operational excellence while championing responsible AI practices and evaluating emerging AI technologies.

Key responsibilities involve leading the development of enterprise-grade chatbots and virtual assistants, providing technical leadership across platforms like Amazon Lex and Google Dialogflow. You will also drive integration with enterprise applications and CCaaS platforms. Building and developing high-performing, inclusive engineering teams is paramount, as is partnering effectively with business leaders and executive stakeholders to deliver impactful business outcomes. Additionally, you will drive the adoption of CI/CD, Terraform, DevOps, and cloud-native engineering practices, promoting DevSecOps and Responsible AI principles.

We are seeking an experienced engineering leader with a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A minimum of 10 years of software engineering experience, with over 5 years in engineering leadership roles, is required. You should have proven experience leading enterprise AI/ML and engineering teams.

Essential technical expertise includes hands-on experience with Amazon Lex, Google Dialogflow, and Google ADK. Building and scaling voice bots, chatbots, and virtual assistants is crucial, alongside proficiency in Python, Node.js, or TypeScript. A solid understanding of CI/CD pipelines, Terraform, DevOps practices, and cloud-native architectures is expected. Familiarity with AI Development Lifecycle (AIDLC) and Responsible AI principles, along with experience integrating AI solutions, is also necessary. Strong people leadership, coaching, talent development, and exceptional stakeholder management and executive communication skills are vital for success in this role.