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Ai Officer Jobs (NOW HIRING)

The Washington Post

Chief AI Officer

Washington, DC · On-site

The Chief AI Officer will unify these efforts under one strategy, raise the technical bar across all of them, and decide where we go next. This person owns the AI roadmap for the company and builds ...

The Washington Post

Chief AI Officer

Washington, DC · On-site

The Chief AI Officer will unify these efforts under one strategy, raise the technical bar across all of them, and decide where we go next. This person owns the AI roadmap for the company and builds ...

The Washington Post

Chief AI Officer

Washington, DC · On-site

The Chief AI Officer will unify these efforts under one strategy, raise the technical bar across all of them, and decide where we go next. This person owns the AI roadmap for the company and builds ...

Kokosing

Chief Data and AI Officer

Westerville, OH · On-site

We are seeking a results-driven Chief Data and AI Officer (CDAIO) to lead digital transformation, artificial intelligence (AI), and data innovation across a growing construction organization.

RSA

Director, AI Product Marketing

Burlington, MA · On-site

Chief AI Officers have become a real buying force. Non-human identities are growing faster than human ones. Every major IAM vendor is claiming an AI story, saturating the market with promises and few ...

Mintex Technology

Founding AI Engineer

Philadelphia, PA · On-site

$180K/yr

The team includes a Chief AI Officer, seven engineers (two AI/ML engineers and five full-stack engineers), and a founding team working directly alongside customers to build and refine the platform.

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Ai Officer information

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$75.9K

$182.5K

How much do ai officer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai officer in the United States is $75,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is an AI officer?

AI Officers are professionals responsible for overseeing the development, implementation, and ethical management of artificial intelligence technologies within an organization. They guide AI strategy, ensure compliance with regulations, and collaborate with different departments to integrate AI solutions effectively. Their role often includes evaluating AI risks, promoting responsible AI use, and aligning AI initiatives with business goals. AI Officers typically have a background in technology, data science, and policy, making them key players in leveraging AI for organizational success.

What skills and qualifications are needed to thrive as an AI officer?

To thrive as an AI Officer, you need a solid understanding of artificial intelligence, data analysis, and machine learning, typically supported by a degree in computer science, engineering, or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), programming languages (such as Python), and relevant certifications (e.g., AI or data science certifications) is highly valued. Strong problem-solving, communication, and project management skills set exceptional candidates apart in this role. These competencies are crucial for effectively developing, implementing, and overseeing AI strategies that align with organizational goals.

How does an AI officer typically collaborate with cross-functional teams within an organization?

AI Officers often work closely with cross-functional teams such as data scientists, IT specialists, product managers, and business leaders to identify opportunities for AI implementation. They play a key role in translating business objectives into technical AI solutions and ensuring that projects align with organizational goals. Regular communication and collaboration are essential, as AI Officers must bridge the gap between technical and non-technical stakeholders to drive successful AI initiatives.

What is the difference between Ai Officer vs Data Analyst?

AspectAi OfficerData Analyst
Required CredentialsDegree in AI, Computer Science, or related field; certifications in AI/MLDegree in Data Science, Statistics, or related field; certifications in data analysis
Work EnvironmentTech companies, R&D labs, AI-focused departmentsBusiness, finance, marketing, and healthcare sectors
Employer & Industry UsageOrganizations developing AI solutions, tech firmsOrganizations analyzing data to inform decisions across industries

The main difference is that an Ai Officer focuses on developing and implementing AI technologies, while a Data Analyst interprets data to support business decisions. Both roles require analytical skills, but Ai Officers typically have specialized knowledge in AI/ML algorithms and programming, working more on the technical development side. Data Analysts often focus on data visualization and reporting to help organizations understand trends and insights.

How to become an AI officer?

To become an AI officer, candidates typically need a bachelor's degree in computer science, data science, or a related field, with many roles requiring a master's or Ph.D. in artificial intelligence, machine learning, or similar areas. Developing skills in programming languages like Python, experience with AI frameworks, and knowledge of data analysis are essential. Relevant certifications and hands-on experience with AI projects can also improve job prospects.

What does an AI officer do?

An AI officer is responsible for developing, implementing, and managing artificial intelligence strategies within an organization. They often work with machine learning models, data analysis, and AI tools to improve business processes and decision-making. Strong technical skills, knowledge of AI frameworks, and understanding of ethical considerations are essential for this role.
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Ai Officer jobs near you
Infographic showing various Ai Officer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $75,929 per year, or $36.5 per hour.

Chief AI Officer

Washington, DC • On-site

The Washington Post
Newspaper Publishers • 1 - 5K employees
Learn more about The Washington Postexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted just now

Job description

Join the future of news
We're on a mission to deliver riveting storytelling for all of America. At The Washington Post, you'll help reinvent news. Our work is driven by a deep investigative spirit and enhanced by innovation to bring audiences closer to the stories that matter most.
About Our Team
The Washington Post is powered by the passion and talent of our people. It takes all of us to reinvent news. Beyond our award-winning Newsroom and Opinions teams, we work across many departments, including Brand & Events, Communications, Customer Care, Engineering & Product, Finance, Human Resources, Legal, Marketing & Advertising, Print Operations, and Sales.
Why This Role Matters
The Washington Post is looking for a Chief AI Officer, reporting to the CTO, to set and drive the AI strategy for the entire company. This is a rare mandate. It spans the newsroom, engineering, advertising, and subscriptions, and it treats AI not as a cost-cutting tool but as a way to build the products that will define the next era of news.
We have been building in this space for years. Ask The Post AI answers reader questions using only our published reporting. Climate Answers and Conversations extend that approach into new formats. On the commercial side, tools like DealXP put AI directly into the hands of our sales teams. The Chief AI Officer will unify these efforts under one strategy, raise the technical bar across all of them, and decide where we go next.
This person owns the AI roadmap for the company and builds it in genuine partnership with the leaders who run each business. They translate dense technical possibility into value the business can measure, and they hold the line on the thing that matters most to a news organization: the truth. Products that ship under this leader are accurate, grounded, and trustworthy. A reader-facing feature that hallucinates is not a shipping candidate.
What Motivates You
  • You are driven to shape how AI transforms journalism, engineering, advertising, and subscriptions through products that create measurable business value.
  • You are passionate about building reader-facing AI products that expand what journalism can do rather than focusing solely on operational efficiency.
  • You are committed to building AI capabilities thoughtfully, making deliberate decisions about when to build, fine-tune, or leverage third-party models.
  • You believe accuracy, truth, and trust are non-negotiable and treat factual errors as unacceptable.
  • You enjoy translating complex technical concepts into business value and influencing leaders across editorial, engineering, and commercial organizations.
  • You are motivated to build high-performing AI teams while fostering AI fluency across the organization.
  • You are excited to define responsible AI governance, standards, and best practices for a leading news organization.

How You'll Support the Mission
  • Own the company-wide AI strategy and roadmap. Define where AI creates the most value across journalism, engineering, advertising, and subscriptions, sequence the work, and hold the roadmap accountable to real outcomes alongside the business leaders who own each area.
  • Ship reader-facing products, not just internal efficiency. Lead the design and delivery of AI products that readers, advertisers, and subscribers touch directly, creating new products that grow the business and expand what journalism can do.
  • Build, do not just buy. Define the company's approach to leveraging third-party foundation models, fine-tuning, retrieval infrastructure, and proprietary capabilities while making deliberate decisions across cost, control, latency, data rights, and defensibility.
  • Guarantee accuracy and eliminate hallucination in what we ship. Establish the evaluation frameworks, retrieval grounding, human review, and guardrails that make AI products dependable, define a clear standard for what is publishable, and uphold accountability for the accuracy and trustworthiness of everything we ship.
  • Partner across the whole company. Work directly with newsroom leadership, product, engineering, commercial, subscription, standards, and legal teams to earn the trust of the newsroom while delivering AI tools that create measurable value and help commercial teams move revenue.
  • Parse dense technical requirements into business value. Move fluently between model architecture discussions and P&L conversations, separating meaningful technical advances from hype and translating emerging AI capabilities into measurable business value.
  • Set the standards, governance, and red lines. Define responsible AI governance, data rights, bias mitigation, risk management, and organizational standards in partnership with newsroom and standards leaders.
  • Build the team and the culture. Recruit, develop, and lead world-class AI talent while fostering AI fluency and responsible AI adoption throughout the organization.
  • Establish a unified AI roadmap and evaluation practice that the company trusts, balancing build-versus-buy decisions while delivering reader-facing and commercial AI products that meet The Washington Post's standards for quality, accuracy, and long-term business impact.

The Skills and Experience You Bring
  • A strong track record of shipping AI products that reached real users and worked, with accuracy and reliability you can speak to concretely. Public-facing products that did not hallucinate their way into retractions.
  • Deep, hands-on generative AI experience. You understand how modern language models, retrieval systems, fine-tuning, and evaluation actually work, and you can engage with the technical detail rather than manage from a distance.
  • The ability to read dense technical requirements and research and translate them into product and business value.
  • Experience building AI capability in-house, not only assembling vendor tools. You know when each approach is right.
  • Executive-level judgment and the ability to lead through influence across editorial, engineering, and commercial teams with very different cultures and incentives.
  • A genuine commitment to accuracy and truth, and the instinct to treat a factual error as unacceptable rather than as an acceptable model limitation.
  • Strong communication skills, including the ability to explain hard technical tradeoffs to non-technical leaders and to earn the trust of a skeptical newsroom.
  • Experience in media, publishing, or another domain where trust and accuracy are the core of the product.
  • A background that spans research and applied product work.
  • Experience standing up AI governance and evaluation practices from scratch.
  • Bachelor's degree in Computer Science, Machine Learning, or similar field. PHD in similar field strongly preferred.

Collaboration makes us stronger. That's why our offices are designed with open layouts, modern technology, and easy access to transportation. With certain exceptions for newsgathering and business travel, we work on-site five days a week.
Compensation and Benefits
Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:
  • Competitive medical, dental and vision coverage
  • Company-paid pension and 401(k) match
  • Three weeks of vacation and up to three weeks of paid sick leave
  • Nine paid holidays and two personal days
  • 20 weeks paid parental leave for any new parent
  • Robust mental health resources
  • Backup care and caregiver concierge services
  • Gender affirming services
  • Pet insurance
  • Free Post digital subscription
  • Leadership and career development programs

Benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status.
The salary range for this position is:
$281,850 - $469,750 Annual
The actual salary within this range will depend on individual skills, experience, and qualifications as they relate to specific job requirements. This position may be eligible for a bonus or incentive program, and a member of the Talent Acquisition team will discuss bonus payment terms and conditions during the interview process.
Your story awaits. Apply today!
Learn more about The Post at careers.washingtonpost.com.

Apply