Associate Director - AI/ML Engineering

When you join Verizon You want more out of a career.

What you’ll be doing... This is a leadership role that will require deep technical expertise in AI Engineering and will focus on establishing a strong AI Engineering, AI Platforms that enables Generative and Agentic AI solutions at scale. Delivering AI Platforms at Scale Leading the AI engineering team and overseeing the end-to-end development, deployment, and maintenance of scalable AI platforms and frameworks, including delivering core services across the Generative and Agentic AI landscape.

About Verizon

• A place to share your ideas freely — even if they’re daring or different.
• Where the true you can learn, grow, and thrive.
• At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy.
• We do what we love — driving innovation, creativity, and impact in the world.
• Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins.
• In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always.

Want in?

Join the #VTeamLife.

Building and scaling a high-performing engineering team that operates with autonomy, high accountability, and urgency toward delivering business outcomes.

At Verizon, we are at a pivotal point to industrialize our AI capabilities platforms to next-gen standards.

You are a seasoned AI leader with hands on analytical and coding skills, eager to work in a collaborative environment with global teams to drive AI/ML application in business problems, develop end to end AI driven

Responsibilities

• Owning non-functional KPIs across production deployments of AI applications and agents on the Enterprise AI platform, covering key components such as the AI SDK, Agent Registry, and Agent Builder.
• Managing and tracking strategic KPIs to evaluate the effectiveness, efficiency, and business impact of enterprise AI solutions.
• Driving innovation by researching, evaluating, and adopting emerging AI technologies, tools, and methodologies to expand organizational AI/ML capabilities.
• Ensuring best-in-class engineering standards in AI development—including rigorous model validation, automated testing, and reliable deployment—while adhering to ethical and regulatory frameworks.
• Directing project delivery timelines, budgets, and engineering resources to ensure the execution of high-impact AI initiatives.
• Building and Managing the Team Championing a transparent global operating model to establish strong operational foundations across regions.
• Attracting and retaining top-tier AI engineering talent with deep technical expertise.
• Enabling team member growth through continuous training pathways, structured on-the-job coaching, and dedicated mentorship.
• Fostering an open research culture that empowers practitioners to conduct pioneering work and contribute externally via open-source initiatives and technical publications.
• Providing Technical Thought Leadership Operating as an internal and external subject matter authority on next-generation AI platforms.
• Serving as a trusted technical advisor to cross-functional enterprise stakeholders.
• Elevating the AI Practice Partnering with academic institutions and startup ecosystems to source cutting-edge AI approaches that create organizational value.
• Tracking industry advancements in Generative and Agentic AI, translating emerging trends into custom enterprise solutions.
• Inspiring engineering teams to design bias-aware systems that champion responsible, ethical AI both internally and across external partner networks.
• Establishing governance routines, model lifecycle management policies, peer-review standards, and compliance frameworks for privacy, ethics, and fairness.
• What we’re looking for...
• This leader and the team will own, drive and partner the platform KPIs for use cases driven by BUs.
• Cognitive solutions and communicate insights and findings to leadership.
• You thrive in a dynamic environment and are able to interact with various stakeholders and global cross functional teams to implement AI driven business solutions.
• You are excited about driving high value outcomes through AI and enjoy mentoring and leading data scientists to deliver large scale AI solutions.

Requirements

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Three or more years of direct experience with leading AI Engineering teams, two or more years in a manager capacity managing AI Engineering talent.
• Experience in scaling Real Time Gen AI apps and establishing a high available architecture.
• Expert level understanding in tools in the model lifecycle.
• Experience in Talent development for AI engineering talent across all the roles.
• Experience with supporting a global CoE model managing stakeholders across technology and business teams of the enterprise Even better if you have one or more of the following: Strong experience in managing AI product teams.
• Strong experience in managing AI scaling.
• Knowledge on GPU/CPU architecture and distributed computing and general infra needs to scale Predictive & Generative AI models.
• Excellent communication skills.
• Excellent cross-functional collaboration skills.
• Outstanding analytical and problem-solving skills.
• If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
• Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Benefits

• Mentoring and developing high-potential technical talent across the organization.

Where you'll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled

Weekly Hours 0 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.