Conversational AI Engineering Lead Director

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary
We are looking for an exceptionally skilled and driven Conversational AI Engineering Leader. The ideal candidate will have a robust background in constructing and guiding dynamic, talented engineering teams. This role involves coaching and mentoring team members to ensure the delivery of top-tier products and services, specifically within the realms of voice and chat bots.

If you are passionate about conversational AI and have a proven track record of leading successful engineering teams in a fast-paced environment, we would love to hear from you.

As a Lead Director you will:

• Provide strategic and technical leadership across multiple conversational AI delivery teams, ensuring alignment with business goals and customer needs.

• Lead the delivery of comprehensive conversational AI solutions, emphasizing full-stack development (NodeJs, Python etc.), including the integration of Large Language Models (LLM) and orchestrated applications.

• Ensure timely execution, quality outcomes, and measurable impact.

• Build, mentor, and inspire high-performing teams of AI engineers and delivery managers. Foster a culture of technical innovation, collaboration, and continuous learning.

• Continuously evaluate and drive adoption of emerging technologies to enhance solution capabilities and maintain competitive advantage.

• Collaborate with executive leadership across various business units to identify opportunities and communicate progress.

• Stay ahead of industry trends and emerging technologies. Champion best practices in AI and agile delivery.

• Establish KPIs, governance models, and delivery frameworks to ensure scalability, compliance, and performance of AI solutions.

• Identify opportunities for the Conversational Chatbot with a focus on customer experience optimization and ROI-driven AI solutions.

Success in this role requires ability to:

• Thrive in a fast-paced, high-energy environment where innovation and agility are paramount.

• Demonstrate exceptional leadership and interpersonal skills, with the ability to motivate and inspire teams.

• Exhibit a strong technical acumen, with hands-on experience in AI and machine learning.

• Possess a strategic mindset, capable of translating business objectives into actionable engineering plans.

• Show a commitment to excellence, with a keen eye for detail and a passion for delivering high-quality products.

• Embrace a culture of collaboration, working seamlessly with diverse teams to achieve common goals.

• Be a visionary thinker, always looking for ways to push the envelope and drive the industry forward.

Required Qualifications

• 10+ years of experience in technology leadership roles, with at least 5 years focused on cloud-native environments (IBM & Azure highly preferred) building, integrating, and deploying conversational AI solutions, including voice and chatbots.

• 10+ years of experience translating complex technical solutions into strategic business outcomes.

• 10+ years of experience with full stack development with languages such as Java, Python, React or Node.js.

• 7+ years of experience as a delivery lead for large-scale AI or digital transformation programs working in a high-performance Agile environment.

• 7+ years of experience deploying applications to the cloud, integrated with cloud technologies.

• 7+ years of experience with open-source automation servers with either Jenkins or Octopus, or GitHub.

• 7+ years of experience with API integration tools such as Postman, Swagger or similar tools. 

• Strong understanding of conversational AI technologies (e.g., chatbots,