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Chief Ai Officer Jobs (NOW HIRING)

Fidus Systems

Chief AI Officer

Reporting to our CEO, the Chief AI Officer will lead our AI transformation - own and drive our AI strategy, roadmap, and adoption. What You'll Be Doing: 1. AI Strategy & Roadmap * Own and drive the ...

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.

Sbhonline

Chief AI and Technology Officer

Manhattan, NY · On-site

$150 - $250/hr

Based on Experience Chief AI & Technology Officer About the Company We are building an AI-native heavy equipment rental business on the East Coast. By combining an established operating rental ...

Labcorp

Executive Director, Enterprise AI

Durham, NC · On-site

Chief AI Officer | Travel: 40-50% Job Responsibilities: * Lead the enterprise AI portfolio, demand management, prioritization, and investment planning, maintaining a single source of truth for AI ...

Labcorp

Executive Director, Enterprise AI

Durham, NC · Hybrid

Chief AI Officer | Travel: 40-50% Job Responsibilities: * Lead the enterprise AI portfolio, demand management, prioritization, and investment planning, maintaining a single source of truth for AI ...

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.

Arcade AI, Inc

Enterprise Account Executive

New York, NY · On-site

$200K/yr

Our buyers are Heads of AI, Chief AI Officers, CTOs, CIOs, and CISOs at companies that have moved past chatbots and need their AI to actually take secure actions across Google, Slack, Salesforce, and ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

Reporting to the Chief Digital Information Officer (CDIO), the VP of Data, Analytics and AI leads the execution of Premier's enterprise data, analytics, and AI strategy and operating model, builds ...

New

Medpace, Inc.

AI Project Manager

Cincinnati, OH · On-site

Job Summary Medpace is a leading CRO in Cincinnati and is continuing to add established Project Managers to the company with a focus on Artificial Intelligence to join our Chief AI Officer (CAIO) in ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH

Reporting to the Chief Digital Information Officer (CDIO), the VP of Data, Analytics and AI leads the execution of Premier's enterprise data, analytics, and AI strategy and operating model, builds ...

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All JobsChief Ai Officer Jobs

Chief Ai Officer information

See salary details

$41.5K

$151.2K

$269.5K

How much do chief ai officer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for chief ai officer in the United States is $151,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $185,000.00 per year, depending on experience, location, and employer.

What is a Chief AI Officer?

A Chief AI Officer (CAIO) is a senior executive responsible for overseeing an organization's artificial intelligence strategy and implementation. This role involves guiding the adoption of AI technologies, ensuring ethical AI use, and aligning AI initiatives with the company's overall business goals. The CAIO collaborates with other leaders to integrate AI into products, services, and operations while managing risks and compliance. They also keep the organization informed about the latest AI advancements and trends to maintain a competitive edge.

How does a Chief AI Officer typically collaborate with other executive leaders to drive AI strategy within an organization?

A Chief AI Officer (CAIO) works closely with other C-suite executives, such as the CTO, CIO, and CEO, to align AI initiatives with the company's overall business goals. The CAIO often leads cross-functional teams, ensuring that AI projects are practical, scalable, and ethically sound. Regular collaboration involves strategic planning sessions, joint evaluation of technology investments, and establishing governance frameworks for responsible AI adoption. This role also requires translating complex AI concepts for non-technical stakeholders, fostering a culture of innovation, and ensuring that the AI roadmap supports both short-term results and long-term growth.

What is the difference between Chief Ai Officer vs Data Scientist?

AspectChief Ai OfficerData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong technical skills
Work EnvironmentStrategic leadership, cross-departmental collaboration, executive meetingsData analysis, model development, coding, and data visualization
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesResearch institutions, tech firms, finance, healthcare
Search & Comparison IntentUnderstanding leadership roles in AI, strategic responsibilitiesTechnical skills, project work, data analysis tasks

The Chief Ai Officer focuses on strategic AI initiatives and leadership, while Data Scientists handle technical data analysis and model development. Both roles require strong technical backgrounds, but the Chief Ai Officer emphasizes executive decision-making and AI strategy.

What are the key skills and qualifications needed to thrive as a Chief AI Officer, and why are they important?

To thrive as a Chief AI Officer, you need deep expertise in artificial intelligence, machine learning, data science, and strategic business acumen, typically supported by an advanced degree in a relevant field. Familiarity with AI development frameworks (such as TensorFlow and PyTorch), cloud platforms, and experience with data governance and security are crucial. Exceptional leadership, communication, and change management skills help drive cross-functional collaboration and foster innovation. These competencies ensure successful AI strategy development, ethical implementation, and organizational impact in a rapidly evolving technological landscape.
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What cities are hiring for Chief Ai Officer jobs? Cities with the most Chief Ai Officer job openings:
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Chief Ai Officer jobs near you
Infographic showing various Chief Ai Officer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $151,203 per year, or $72.7 per hour.

Chief AI Officer

Fidus Systems

Remote

Full-time

Posted 5 days ago

Job description

Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product development, with hardware, embedded software, FPGA/ASIC, and signal integrity teams working together to design and deliver next-generation products for clients in emerging technology markets.
Reporting to our CEO, the Chief AI Officer will lead our AI transformation - own and drive our AI strategy, roadmap, and adoption.
What You'll Be Doing:
1. AI Strategy & Roadmap
  • Own and drive the company-wide AI strategy, roadmap, and governance framework
  • Define the multi-year vision for AI adoption across service delivery, business development, and operations
  • Lead prioritization of AI initiatives against revenue, margin, and competitive differentiation outcomes
  • Report to the CEO on AI transformation progress; own the AI KPI scorecard

2. AI-Enabled Products & Services
  • Collaborate with CTO and Delivery Leaders to identify and build net-new AI-enabled service offerings that expand Fidus's addressable market - e.g., AI-assisted SI/PI analysis, automated design review, embedded AI in customer product development
  • Lead productization of Fidus's engineering expertise into scalable, repeatable AI-augmented deliverables
  • Partner with discipline leads (FPGA, SI/PI, Layout, Software, Hardware, ASIC) to embed AI tooling into delivery workflows
  • Establish IP strategy around proprietary AI methods and tooling developed internally

3. AI Adoption & Change Management
  • Drive measurable adoption of AI tools across all teams - engineering, operations, and business development
  • Design and execute a structured change management program: enablement, training, and accountability
  • Define and own adoption KPIs: cycle time reduction, AI-assisted delivery percentage, proposal and BD efficiency
  • Champion a culture of experimentation while maintaining rigorous quality standards in safety-critical engineering environments

4. Data Strategy & Infrastructure (in partnership with IT)
  • Partner with IT to define and evolve Fidus's data architecture, governance, and quality standards as the foundation for AI capability
  • Collaborate with IT to build and maintain the data platform required to support AI model development, training, and deployment
  • Partner with IT and Legal to ensure data practices meet compliance requirements including ITAR, export control, and client NDA obligations
  • Work closely with IT and engineering leadership to instrument delivery processes for systematic data capture and to maintain data quality at the source

5. Client-Facing AI Leadership
  • Serve as Fidus's external AI authority - engaging clients, strategic partners, and industry forums
  • Advise clients on AI integration into their hardware, firmware, and systems product development programs
  • Support channel and business development by articulating Fidus's AI differentiation to silicon vendors, EDA partners, and the broader partner ecosystem

6. Build & Lead the AI Organization
  • Hire, develop, and manage the AI function - engineers, data scientists, and ML operations
  • Define the organizational model: centralized Center of Excellence or embedded discipline-level AI leads
  • Manage AI vendor and tool relationships - model providers, MLOps platforms, and data tooling - in coordination with IT procurement and security standards

Requirements
Who You Are
  • Services industry experience: Proven track record of driving AI adoption and transformation inside a services or professional services organization - not a product company. You understand the utilization model, the people dynamics of a billable delivery environment, and how to drive change without disrupting client commitments.
  • AI transformation leadership: 10+ years in technology leadership; 3+ years in a senior AI/ML leadership role with demonstrated organizational impact. You have taken AI from concept to deployed, production-grade capability in an organization that did not start AI-native.
  • Deep data background: Hands-on expertise in data architecture, data governance, and ML pipeline development. Skilled at working across functional boundaries - able to engage credibly with both engineers and IT leadership, not just manage upward.
  • Product development experience: Demonstrated experience building AI-enabled products or productized service offerings, from ideation through commercialization.
  • Execution track record: History of executing on strategic roadmaps under ambiguity with measurable business outcomes - revenue, margin, efficiency. You ship.
  • Executive communication: Able to translate AI strategy into board-level narrative and into day-to-day engineering direction. Equally fluent in both registers.

Strong Preference
  • Background in engineering services, EDA, semiconductor, or adjacent deep-tech industries
  • Familiarity with safety-critical or regulated engineering environments: A&D, medical, automotive
  • Experience in ITAR or export-controlled data environments
  • Prior experience in a company undergoing strategic transformation - high-growth, PE-backed, or M&A integration
  • Hands-on experience with LLMs, agentic AI frameworks, or AI applied to CAD/EDA and hardware design workflows

About Fidus & Why Work Here
Since 2001, Fidus has completed over 4,000 projects for more than 400 customers across industries including Telecom/Datacom, Aerospace & Defence, Consumer, Semiconductors, Industrial/Automotive Controls, and Medical. As a Premier Adaptive Computing Partner for AMD North America, we combine deep technical expertise with industry-leading tools to solve complex design challenges.
Fidus designs high-speed, high-complexity electronic systems using emerging technologies, often well before they reach the broader market. Our teams work across FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design to deliver real products for our customers.
Our work spans space and satellite systems, next-generation communications and networking, high-performance compute and storage platforms, advanced video and imaging, and industrial, medical, and automotive systems. We are not tied to a single product or industry-our work follows the technology, not just one roadmap.
At Fidus, collaboration is at the core of how we work. We value openness, trust, and shared ownership, and we create an environment where people are encouraged to contribute ideas, learn from one another, and have a meaningful impact through the work they do.
If all of this excites you, has your attention, and you can't wait to join our amazing team and work environment, then we want to hear from you!
Curious what it's actually like to work here? Take a look at our Working at Fidus page.
Fidus has a commitment to ensure a fair and transparent recruitment process. Automated tools (including AI) support our initial screening of applicants against our job posting to identify candidates whose qualifications, experience, and skills align most closely with the position requirements. All further candidate assessments and final selection are conducted by our human recruitment team. AI does not make any final hiring decisions.
Thank you for your interest in Fidus. We welcome and encourage diverse candidates to apply. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Fidus is committed to creating a diverse environment and is proud to be an equal opportunity employer.

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