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Vp Network Ai Jobs (NOW HIRING)

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 ...

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 ...

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 ...

$199 - $468/hr

As the Vice President, Intelligence Community (IC) Mission Technology for the Network & Infrastructure Technology Division, for the Digital & Network Technology Line of Business, you will be ...

C3 AI is hiring a Vice President of Marketing to lead the next chapter of our global marketing function. As we enter the next phase of growth driven by Generative and Agentic AI, marketing needs to ...

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Vp Network Ai information

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$43.5K

$157.5K

$277.5K

How much do vp network ai jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vp network 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 is the difference between Vp Network Ai vs Network Engineer?

AspectVp Network AiNetwork Engineer
Required CredentialsBachelor's in Computer Science, AI, or related field; often advanced certifications in AI or networkingBachelor's in Computer Science, Information Technology, or related field; certifications like CCNA or CCNP
Work EnvironmentStrategic leadership in tech companies, overseeing AI and network integration projectsHands-on technical work in data centers, corporate offices, or service providers
Employer & Industry UsageTech firms, AI startups, large enterprises integrating AI with networksTelecom, IT services, enterprise networking

The Vp Network Ai focuses on strategic leadership, overseeing AI-driven network solutions, while a Network Engineer handles the technical implementation and maintenance of network systems. Both roles require networking knowledge, but the VP role emphasizes management and AI integration, whereas the Network Engineer is more hands-on technical work.

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

The most popular types of Network Ai jobs are:

Infographic showing various Vp Network Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, Engineering

Civis Analytics

Washington, DC • On-site

$200 - $350/hr

Other

Posted 20 days ago


Job description

Please note that candidates must currently live in the following states: DC, Illinois, Maryland, New York or Virginia.

Civis Analytics is hiring a Vice President, Engineering to lead the company’s technical vision, architecture, and execution as we expand our platform and launch standalone AI products. Reporting to the CEO, the VP will play a critical player–coach role: setting long-term technical direction while staying close to systems, decisions, and delivery.

This role owns the cohesion between Civis’s core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP remain strong, reliable, and extensible—while guiding teams toward an AI-centric development and product environment.

What You’ll Do
  • Be the tech voice within our senior leadership team and guide decision-making and business planning as we scale;
  • Own and drive Civis’s technical roadmap across both the Civis Platform and emerging AI products, ensuring alignment, cohesion, and long‑term scalability
  • Lead architecture decisions across platform, data, and AI systems, balancing speed, reliability, and maintainability
  • Act as a player–coach: stay close to systems, technical tradeoffs, and delivery while empowering teams to execute independently. Guide the organization toward an AI-centric product and development environment, including tooling, workflows, and engineering practices
  • Lead and integrate a cross‑functional team spanning product, engineering, data, and AI, while serving as a visible, hands‑on leader and magnet for technical talent as the organization grows (approximately 15 people initially).
  • Provide thought leadership within the company; research and evaluate cutting‑edge practices and enabling technologies for internal adoption; assess potential partnerships and acquisitions;
  • Be the public face of Civis technology and data science; network, evangelize, and form relationships with press and peer organizations; participate in high‑level sales meetings; and give back to the community.
What We’re Looking For (Minimum Qualifications)
  • Practical, real‑world experience working with AI systems and understanding their application in production environments - beyond theory or research
  • Significant experience leading software, platform, or data engineering organizations in a hands‑on leadership capacity
  • Demonstrated ability to own and evolve technical roadmaps across multiple product lines or platforms
  • Experience making architectural decisions for complex, data‑driven systems
  • Comfort getting into the technical weeds when needed to unblock teams or resolve critical issues
  • Proven ability to hire, develop, and manage high‑performing technical teams
  • Clear, direct communication style and comfort making and standing behind difficult technical decisions
  • Familiarity with building and scaling AI products in production
  • Hands‑on experience with modern cloud platforms and distributed systems
  • Authorization to work in the United States
You Should Apply If
  • You want to actively shape and build AI products, not just talk about them
  • You enjoy owning technical strategy while staying close to execution and delivery
  • You’re comfortable operating in ambiguity and making decisions with imperfect information
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