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Ai Proof Jobs (NOW HIRING)

Navan

Internal AI Innovation Lead

New York, NY · On-site

Your primary goal is to cultivate a network of AI Champions across the company who are fluent in AI and capable of building functional AI proof-of-concept (POC) solutions to solve real business ...

Navan

Internal AI Innovation Lead

New York, NY · On-site

$172K - $384K/yr

Your primary goal is to cultivate a network of AI Champions across the company who are fluent in AI and capable of building functional AI proof-of-concept (POC) solutions to solve real business ...

Northern Base

AI architect

Dallas, TX · On-site

$62.75 - $81.75/hr

... Proof of Concepts (PoCs), architecture design, technical documentation, and enterprise AI transformation initiatives ✔ Excellent stakeholder management, communication, problem-solving, and ...

CYNET SYSTEMS

Agentic AI Developer

San Jose, CA · On-site

$55 - $60/hr

Lead the transition of AI Proof-of-Concept (POC) projects into production-ready services, collaborating with Moma and other internal search and productivity teams. * Propose and implement ...

Photon

Agentic AI FDE Architect - Dallas, TX

Dallas, TX · On-site

$62.25 - $82/hr

Delivering Agentic AI Proof-of-Concepts Deployments: Customer-Facing Platform & Deployment Expertise. Customer Interaction: Lead and execute technical POCs for agentic AI solutions, showcasing the ...

EECU

Manager, AI & Data Analytics

Fort Worth, TX · On-site

Lead AI proof-of-concept initiatives, pilots, and scalable production implementations. * Establish AI governance, ethical AI practices, security standards, and performance monitoring. * Support ...

Photon

Agentic AI FDE Architect - Dallas, TX

Dallas, TX · On-site

$62.25 - $82/hr

Delivering Agentic AI Proof-of-Concepts Deployments: Customer-Facing Platform & Deployment Expertise. Customer Interaction: Lead and execute technical POCs for agentic AI solutions, showcasing the ...

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Ai Proof information

See salary details

$44.5K

$129.7K

$177.5K

How much do ai proof jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai proof in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Proof vs Data Analyst?

AspectAi ProofData Analyst
Required CredentialsCertifications in AI, machine learning, or data scienceBachelor's or master's in data science, statistics, or related fields
Work EnvironmentTech companies, AI development firms, research labsBusiness, finance, healthcare, and other industries
Industry UsageDeveloping AI models to prevent bias or manipulationAnalyzing data to inform business decisions

Ai Proof specialists focus on creating systems resistant to AI manipulation, requiring expertise in AI and machine learning. Data Analysts interpret data to support decision-making, often with a background in statistics. While both roles involve data, Ai Proof emphasizes AI robustness, whereas Data Analysts focus on data interpretation.

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Ai Proof jobs near you
Infographic showing various Ai Proof 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 $129,716 per year, or $62.4 per hour.

Internal AI Innovation Lead

Navan

New York, NY • On-site

Full-time

Posted 15 days ago

Job description

Navan is seeking a highly AI-savvy Internal AI Innovation Lead to drive an AI-first mindset across our workforce. In this role, you will combine deep familiarity with modern AI tools with a product management approach, building the internal AI environments, community, and educational frameworks needed to empower every department.

Your primary goal is to cultivate a network of AI Champions across the company who are fluent in AI and capable of building functional AI proof-of-concept (POC) solutions to solve real business challenges.

What You'll Do

  • Manage AI Environments as Products: Treat our internal AI platforms, tools, and sandboxes as internal products-ensuring high adoption, strong guardrails, and continuous improvements based on user needs.
  • Lead AI Education & Support Plans: Design accessible, high-impact training programs, workshops, and resource hubs that upskill teams-moving employees beyond basic prompts to confident, creative AI adoption.
  • Guide Business-Led POCs: Partner with business units to identify high-value opportunities and help them build, test, and launch fast-turnaround AI proof-of-concept prototypes.
  • Cultivate AI Champions: Build and energize a cross-departmental community of AI advocates. Mentor these champions so they can independently design AI solutions within their own teams.
  • Drive an AI-First Culture: Stay ahead of emerging AI tools and trends, rapidly evaluating new capabilities and demonstrating practical ways to embed AI into everyday operations.

What We're Looking For:

  • Strong AI Savviness: Exceptional hands-on fluency with modern AI tools, GenAI platforms, custom agents, and prompt engineering, with the natural ability to spot opportunities for AI automation.
  • Rapid Prototyping Skills: Comfortable using low-code/no-code AI builders, platform features, or lightweight tools to rapidly build and validate working POCs alongside business teams.
  • Internal Product Mindset: Experience treating internal platforms or programs as products, using feedback, iteration, and adoption metrics to refine the user experience.
  • Enablement & Mentorship: Strong track record of designing engaging training, building active employee communities, and teaching non-technical teams how to build with new technology.
  • Change Leadership: Excellent storytelling, facilitation, and communication skills to motivate employees and embed an AI-first culture across the company.
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About Navan

Sourced by ZipRecruiter

Industry

Traveler accommodation

Company size

1,001 - 5,000 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2015

Social media

Twitter

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