DaVita Kidney Care
Director, AI Engineering & Operations
DaVita Kidney Care, Denver, Colorado, United States, 80285
5 days ago – Be among the first 25 applicants
This range is provided by DaVita Kidney Care. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.
Base pay range $128,000.00/yr - $203,000.00/yr
Position Overview The Director, AI Engineering & Operations will spearhead the development and execution of DaVita's AI strategy, ensuring alignment with business objectives and driving innovation across the organization. They will lead a high‑performing team of AI engineers, overseeing the entire AI lifecycle from data integration to model deployment and monitoring. This role requires a strategic thinker with a deep understanding of AI principles, excellent leadership skills, and a proven track record of successfully implementing AI solutions in complex environments.
Responsibilities
Strategic Leadership: Develop and execute a comprehensive AI roadmap aligned with business goals. Identify key AI capabilities and prioritize projects based on business impact. Collaborate with executives to translate business needs into actionable AI strategies. Stay abreast of emerging AI technologies and trends, evaluating potential organizational impact. Make strategic decisions on building versus acquiring AI capabilities to meet current and future business needs.
Technical Oversight: Oversee architecture and design for scalable AI systems and deployment frameworks. Provide technical guidance on AI model selection, optimization, and evaluation methodologies. Ensure responsible AI, quality standards, best practices, and ethical considerations are integrated into AI development. Guide AI development, model building, training, and implementation processes.
Team Management: Lead and collaborate with a high‑performing team of AI engineers, data scientists, and ML engineers. Foster a culture of innovation and continuous learning. Develop specialized AI talent within the organization. Delegate tasks effectively, manage project timelines, and monitor team performance.
Project Execution: Oversee the full AI lifecycle from data integration to model deployment and monitoring. Collaborate with cross‑functional teams to integrate AI solutions into existing systems. Manage project budgets, resource allocation, and delivery timelines. Ensure timely and successful implementation of AI initiatives.
Operational Excellence: Oversee the establishment and execution of operational frameworks for AI initiatives across functions, ensuring seamless integration across business units.
AI Best Practices & Guidelines: Establish organizational AI & Automation best practices and guidelines. Ensure quality, security, and regulatory compliance in all AI initiatives. Implement responsible AI principles throughout the development lifecycle.
Collaboration and Communication: Collaborate with stakeholders and project managers to turn business goals into technical solutions. Work closely with internal stakeholders to champion AI initiatives, ensuring they are well‑integrated with the company's strategic vision. Coordinate with development teams across the organization to integrate AI capabilities.
Technical Guidance and Mentorship: Provide expert technical guidance, mentorship, and coaching to team members.
Innovation and Incubation: Drive AI adoption, oversee capability development, and ensure successful integration of AI solutions across the organization. Track record of incubating emerging AI capabilities into structured, reusable offerings.
Strategy and Roadmaps: Define and champion the vision, strategy, and roadmap for Data Engineering, Integrations, and AI Engineering Operations. Design and implement the long‑term roadmap of technology architecture, engineering, development, and operations.
Other Duties as Assigned.
Education & Requirements
Education:
Bachelor’s in Computer Science, Artificial Intelligence, or related field with a strong focus on machine learning. A Bachelor’s in Computer Science, Software Engineering, or related field is also acceptable.
Experience:
10+ years of experience in engineering or technology leadership. 5+ years of experience in a leadership role or managing technical teams.
Technical Skills:
Deep knowledge of AI/ML frameworks, cloud platforms, CI/CD tools, data engineering principles, and modern security practices. Expertise in GenAI technologies, including LLMs, orchestration frameworks, agent runtimes, and model integration techniques. Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics.
Travel and Time Requirements:
As needed.
Additional Requirements:
Language skills: Fluent in the written and verbal skills necessary to successfully perform the essential functions, duties, and responsibilities of the position. ADA/Reasonable accommodations: DaVita provides reasonable accommodations to enable otherwise qualified individuals with disabilities to perform the essential physical and/or mental functions of a position. Work environment: Level III – moderate noise. Visual: Vision adequate. Physical Demands: Ability to lift 5–50 lbs, stand, sit, stoop, walk, stretch, reach, and use full range of body motions. Manual dexterity required for specific equipment and use of computer keyboard.
What We’ll Provide
Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out.
Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more.
Professional development programs: DaVita offers a variety of programs, including on‑demand virtual leadership and development courses via the StarLearning platform.
Equal Opportunity Statement At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as a place where I belong. Our goal is to embed belonging into everything we do in our Village. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned, and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
Job Details
Location: Denver, CO
Seniority level: Director
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Hospitals and Health Care
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This range is provided by DaVita Kidney Care. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.
Base pay range $128,000.00/yr - $203,000.00/yr
Position Overview The Director, AI Engineering & Operations will spearhead the development and execution of DaVita's AI strategy, ensuring alignment with business objectives and driving innovation across the organization. They will lead a high‑performing team of AI engineers, overseeing the entire AI lifecycle from data integration to model deployment and monitoring. This role requires a strategic thinker with a deep understanding of AI principles, excellent leadership skills, and a proven track record of successfully implementing AI solutions in complex environments.
Responsibilities
Strategic Leadership: Develop and execute a comprehensive AI roadmap aligned with business goals. Identify key AI capabilities and prioritize projects based on business impact. Collaborate with executives to translate business needs into actionable AI strategies. Stay abreast of emerging AI technologies and trends, evaluating potential organizational impact. Make strategic decisions on building versus acquiring AI capabilities to meet current and future business needs.
Technical Oversight: Oversee architecture and design for scalable AI systems and deployment frameworks. Provide technical guidance on AI model selection, optimization, and evaluation methodologies. Ensure responsible AI, quality standards, best practices, and ethical considerations are integrated into AI development. Guide AI development, model building, training, and implementation processes.
Team Management: Lead and collaborate with a high‑performing team of AI engineers, data scientists, and ML engineers. Foster a culture of innovation and continuous learning. Develop specialized AI talent within the organization. Delegate tasks effectively, manage project timelines, and monitor team performance.
Project Execution: Oversee the full AI lifecycle from data integration to model deployment and monitoring. Collaborate with cross‑functional teams to integrate AI solutions into existing systems. Manage project budgets, resource allocation, and delivery timelines. Ensure timely and successful implementation of AI initiatives.
Operational Excellence: Oversee the establishment and execution of operational frameworks for AI initiatives across functions, ensuring seamless integration across business units.
AI Best Practices & Guidelines: Establish organizational AI & Automation best practices and guidelines. Ensure quality, security, and regulatory compliance in all AI initiatives. Implement responsible AI principles throughout the development lifecycle.
Collaboration and Communication: Collaborate with stakeholders and project managers to turn business goals into technical solutions. Work closely with internal stakeholders to champion AI initiatives, ensuring they are well‑integrated with the company's strategic vision. Coordinate with development teams across the organization to integrate AI capabilities.
Technical Guidance and Mentorship: Provide expert technical guidance, mentorship, and coaching to team members.
Innovation and Incubation: Drive AI adoption, oversee capability development, and ensure successful integration of AI solutions across the organization. Track record of incubating emerging AI capabilities into structured, reusable offerings.
Strategy and Roadmaps: Define and champion the vision, strategy, and roadmap for Data Engineering, Integrations, and AI Engineering Operations. Design and implement the long‑term roadmap of technology architecture, engineering, development, and operations.
Other Duties as Assigned.
Education & Requirements
Education:
Bachelor’s in Computer Science, Artificial Intelligence, or related field with a strong focus on machine learning. A Bachelor’s in Computer Science, Software Engineering, or related field is also acceptable.
Experience:
10+ years of experience in engineering or technology leadership. 5+ years of experience in a leadership role or managing technical teams.
Technical Skills:
Deep knowledge of AI/ML frameworks, cloud platforms, CI/CD tools, data engineering principles, and modern security practices. Expertise in GenAI technologies, including LLMs, orchestration frameworks, agent runtimes, and model integration techniques. Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics.
Travel and Time Requirements:
As needed.
Additional Requirements:
Language skills: Fluent in the written and verbal skills necessary to successfully perform the essential functions, duties, and responsibilities of the position. ADA/Reasonable accommodations: DaVita provides reasonable accommodations to enable otherwise qualified individuals with disabilities to perform the essential physical and/or mental functions of a position. Work environment: Level III – moderate noise. Visual: Vision adequate. Physical Demands: Ability to lift 5–50 lbs, stand, sit, stoop, walk, stretch, reach, and use full range of body motions. Manual dexterity required for specific equipment and use of computer keyboard.
What We’ll Provide
Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out.
Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more.
Professional development programs: DaVita offers a variety of programs, including on‑demand virtual leadership and development courses via the StarLearning platform.
Equal Opportunity Statement At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as a place where I belong. Our goal is to embed belonging into everything we do in our Village. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned, and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
Job Details
Location: Denver, CO
Seniority level: Director
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Hospitals and Health Care
#J-18808-Ljbffr