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Vice President Azure Ai Jobs (NOW HIRING)

RR Donnelley

VP, AI & Software Engineering

Chicago, IL · On-site +1

Role Mission The Vice President of AI & Software Engineering will shape the next era of our technology organization, leading the transformation from a traditional software engineering model to an AI ...

RR Donnelley

VP, AI & Software Engineering

Chicago, IL · On-site

Role Mission The Vice President of AI & Software Engineering will shape the next era of our technology organization, leading the transformation from a traditional software engineering model to an AI ...

ProducePay

Vice President

Portola Valley, CA · On-site

$180 - $280/hr

Full-Time Vice-President Position - 2027 Start ABOUT THE VICE-PRESIDENT ROLE A G2 Vice-President is ... first AI infrastructure), Waabi (generative AI for autonomous trucking), Cast AI (compute ...

New

Reveleer

$260 - $360/hr

SVP, AI & Data Remote Opportunity About Reveleer Reveleer delivers a unified platform spanningrisk ... Set the architecture for the data warehouse on Azure Synapse and Microsoft Fabric, including ...

Blend360

VP, Finance

Columbia, MD · On-site

Company Description Blend is a premier AI services provider, committed to co-creating meaningful ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

Blend360

VP, Finance

Columbia, MD · On-site

Company Description Blend is a premier AI services provider, committed to co-creating meaningful ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

Blend360

VP, Finance

Columbia, MD · On-site +1

Company Description Blend is a premier AI services provider, committed to co-creating meaningful ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

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Vice President Azure Ai information

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$43.5K

$157.5K

$277.5K

How much do vice president azure ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vice president azure ai in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a Vice President Azure AI do?

A Vice President of Azure AI is a senior executive responsible for leading the strategy, development, and execution of artificial intelligence initiatives within Microsoft's Azure cloud platform. This role involves overseeing product development, managing large teams of engineers and researchers, collaborating with other business units, and driving innovation to support Azure's AI services. The VP ensures that Azure AI remains competitive, secure, and effective for customers across industries, while also aligning with the company’s overall vision and goals.

How does a Vice President Azure AI typically collaborate with cross-functional teams to drive AI initiatives within an organization?

A Vice President Azure AI often works closely with engineering, data science, product management, and executive leadership teams to define and execute AI strategies. This involves setting clear priorities, ensuring alignment between business goals and technical solutions, and facilitating communication across departments. The role requires a strong ability to translate complex AI concepts into actionable business plans while fostering a collaborative environment that encourages innovation and knowledge sharing. Regular meetings, strategic workshops, and joint project reviews are common practices to maintain alignment and track progress.

What are the key skills and qualifications needed to thrive as a Vice President Azure AI, and why are they important?

To thrive as a Vice President Azure AI, you need deep expertise in artificial intelligence, cloud computing, business strategy, and a proven track record in technology leadership, often supported by advanced degrees in computer science or related fields. Mastery of Azure AI services, data analytics platforms, and familiarity with industry certifications such as Microsoft Certified: Azure AI Engineer Associate are typically required. Exceptional leadership, communication, and strategic vision are crucial soft skills for driving cross-functional teams and fostering innovation. These skills are essential to effectively lead AI initiatives, align technology with business goals, and maintain a competitive edge in the rapidly evolving tech landscape.

What is the difference between Vice President Azure Ai vs Data Science Director?

AspectVice President Azure AiData Science Director
Required CredentialsAdvanced degrees in Computer Science, AI, or related fields; leadership experience; Azure certificationsMaster's or PhD in Data Science, Statistics, or related fields; strong technical background
Work EnvironmentExecutive leadership, strategic planning, cross-department collaboration, cloud platform managementTechnical team management, project oversight, data modeling, and analysis
Employer & Industry UsageTech companies, cloud service providers, large enterprises leveraging Azure AI solutionsResearch institutions, tech firms, enterprises focusing on data-driven decision making

The Vice President Azure Ai typically holds a strategic leadership role overseeing Azure AI initiatives at an executive level, while the Data Science Director focuses on managing data science teams and technical projects. Both roles require advanced technical knowledge, but the VP role emphasizes strategic planning and cloud platform oversight, whereas the Director role centers on technical execution and data analysis.

What cities are hiring for Vice President Azure Ai jobs?

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What are the most commonly searched types of Azure Ai jobs?

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What states have the most Vice President Azure Ai jobs?

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Vice President Azure Ai jobs near you
Infographic showing various Vice President Azure Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP, AI & Software Engineering

RR Donnelley

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

RR Donnelley rating

6.4

Company rating: 6.4 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

36th of 52 rated marketing agency

Job description

Company Description
RRD provides a complete portfolio of marketing, packaging, print and business services to the world's most respected brands, including 92% of the Fortune 100. The company's proprietary technology, advanced data analytics and established expertise fuel organizational decision-making, from strategy through execution. With operations in 30 countries and over 35,000 employees, global organizations and regulated industries trust RRD to reduce complexity and drive audience connections across the entire customer journey.
Job Description
Role Mission
The Vice President of AI & Software Engineering will shape the next era of our technology organization, leading the transformation from a traditional software engineering model to an AI-native engineering organization built on modern engineering practices and intelligent automation.
This leader will drive AI across two critical dimensions: transforming how we engineer software through AI-assisted and agentic development practices, and building AI-powered solutions that create meaningful business value. The VP of Engineering will guide the evolution of our people, processes, applications, and technology platforms while honoring the strong foundation that has successfully enabled our business for more than 30 years. They will balance innovation with pragmatism by applying AI where it improves engineering effectiveness or business outcomes.
As a strategic partner to the SVP of Digital Strategy, the VP of Engineering will help define our technology vision, engineering practices, AI strategy, governance, and investment priorities while ensuring disciplined execution, operational excellence, and sound financial stewardship.
Key Responsibilities
AI-Native Software Engineering
  • Define and lead the adoption of AI across the software development lifecycle, establishing new engineering practices that combine human expertise with AI-assisted definition, design, development, and delivery.
  • Maintain a strong understanding of the rapidly evolving AI engineering landscape and continually adapt engineering practices, principles, and investment priorities as capabilities mature.
  • Establish measurable approaches for evaluating the impact of AI on developer productivity, software quality and reliability, and overall speed of delivery.
  • Ensure autonomous engineering agents operate within defined guardrails and modernization standards so generated code aligns with production and architectural expectations from the outset.
  • Architect applications and infrastructure to be "agent-ready", systematically removing friction so automated workflows have increasingly higher-quality results over time.

AI Solution Engineering & Innovation
  • Build the organizational capability to design, develop, and operate AI-powered business solutions, including agentic applications, AI assistants, workflow automation, and operations optimization tools.
  • Establish practical patterns for integrating AI capabilities into enterprise applications and workflows, including the platforms, APIs, enterprise data, security, and observability required to operate them effectively.
  • Establish rigorous practices for evaluating AI technologies and solutions based on business value, implementation reality, cost, and risk.
  • Create an engineering model that supports our idea-to-production pipeline, providing a disciplined path for moving successful concepts into production-grade solutions.
  • Provide technical leadership on emerging AI technologies and vendors, separating realistic business value from market hype and informing build, buy, partner, and platform decisions.

Modern Software & Platform Engineering
  • Serve as a key advisor to the SVP of Digital Strategy and other business and technology leaders, helping define and adapt the enterprise technology roadmap, engineering strategy, and architectural vision.
  • Advance modular, API-first, and composable engineering patterns that support rapid business delivery and seamless AI integration.
  • Maintain responsible stewardship of core legacy platforms, making deliberate investment decisions about where to modernize, re-architect, or retain.
  • Systematically optimize codebases, environments, and data access layers so autonomous tools and human teams can develop software safely and efficiently.

Strategic Talent & Delivery Models
  • Shape the right mix of internal engineering talent, strategic partners, outsourcing, and augmentation for an AI-native organization.
  • Build and continuously develop the capabilities of the engineering organization, creating opportunities for existing talent to grow and succeed as software engineering practices and technologies evolve.
  • Identify emerging capability gaps and execute focused hiring strategies that bring critical engineering expertise into the organization.
  • Design and oversee effective support and sourcing models that maintain reliability while increasingly using automation and AI to improve efficiency.

Financial Discipline & Investment Management
  • Maintain excellence in financial discipline, managing the department budget with transparency and precision.
  • Evaluate technology investments based on measurable business and engineering outcomes rather than technology adoption alone.
  • Identify cost improvement opportunities through automation, engineering productivity, architectural efficiencies, application rationalization, optimized vendor management, and active management of cloud and AI unit economics.
  • Manage OpEx/CapEx effectively, connecting technology investments and engineering milestones to measurable financial and business outcomes.

Qualifications
  • Bachelors Degree in Business, Computer Science, Information Systems, Industrial Management, Engineering, or related field, preferred
  • 10-14 years of technical experience with 4-6 years of direct management of staff (managers and staff) OR demonstrated ability to meet the job requirements through a comparable number of years of applicable work experience.
  • Demonstrated experience leading enterprise application modernization, including the evolution of legacy and monolithic systems toward modular, API-first, cloud-ready architectures.
  • Deep understanding of the AI software engineering landscape, with experience applying AI-assisted and agentic approaches across the software development lifecycle.
  • Demonstrated ability to establish and evolve engineering standards, architecture principles, and governance.
  • Experience leading the evolution of engineering operating models and practices across established technology organizations.
  • Strong background in OpEx/CapEx management and the ability to tie technical milestones to financial outcomes.
  • Able to consistently contribute effort, leadership, and creative thinking to solving complex and significant problems in a collaborative fashion.
  • Must be able to demonstrate an ability to work concurrently on multiple complex and sometimes ambiguous problems.
  • Able to communicate complex concepts, problems, and solutions clearly and effectively to all levels within the organization.
  • Exceptional leadership abilities with a track record of building, managing, and motivating high-performing teams that are geographically distributed.
  • Strong business acumen and ability to understand and drive business objectives.
  • Strong organizational skills, including the ability to perform well under pressure and manage multiple priorities with competing demands for resources.
  • Requires excellent communication skills with all levels of audience. Able to structure messages in keeping with the listener's experience, background, and expectations.

Additional Information
RRD's current salary range for this role is $172,400 to $275,800 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD's benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.
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RRD is an Equal Opportunity Employer, including disability/veterans
At RRD, we value innovation, authenticity, and integrity. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.
All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.

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