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Chief Ai Officer Jobs (NOW HIRING)

ClifyX

Chief AI Architect

Alameda, CA · On-site

Business outcomes ROI-driven transformation cases 7. Deal Support & Technical Differentiation Anchor the AI narrative in all strategic deals Work with BRMs and CTO to: Shape AI-led solutions Position ...

ClifyX

Chief AI Architect

San Francisco, CA · On-site

Business outcomes ROI-driven transformation cases 7. Deal Support & Technical Differentiation Anchor the AI narrative in all strategic deals Work with BRMs and CTO to: Shape AI-led solutions Position ...

UiPath, Inc.

WI · On-site

$150 - $230/hr

Working directly with CIOs, CTOs, Chief AI Officers, Enterprise Architects, and digital transformation leaders, you will help shape how organizations operationalize AI and Agentic Automation at ...

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 ...

Embedding VC

GTM Lead

San Francisco, CA · On-site

Reach and win buyers at the Chief AI Officer, COO, and CTO level. - Bring the market read back into product - your early conversations will help shape and validate direction. What We're Looking For ...

Machinify

Sr. Director | Engineering, ML

You will also serve as a key thought partner to our Chief AI Officer, bridging the gap between data science proof-of-concepts and scalable, production-grade services. The ideal candidate blends AI/ML ...

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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 Sep 5, 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 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.

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.

How do you become a chief AI officer?

To become a Chief AI Officer, candidates typically need extensive experience in artificial intelligence, machine learning, or data science, often with a background in computer science or related fields. Strong leadership skills, strategic thinking, and knowledge of AI tools and frameworks are essential, along with a track record of managing AI projects and teams. Advanced degrees such as a master's or Ph.D. in a relevant field can also enhance prospects.

How much does a Chief AI Officer make?

A Chief AI Officer typically earns between $150,000 and $300,000 annually, depending on the company's size, industry, and location. Compensation may also include bonuses, stock options, and other benefits, especially in large or tech-focused organizations. Strong expertise in AI, leadership skills, and experience with machine learning tools are often required for this executive role.
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Chief Ai Officer jobs near you
Infographic showing various Chief Ai Officer 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 $151,203 per year, or $72.7 per hour.

Chief AI Architect

ClifyX

Alameda, CA • On-site

Other

Posted 14 days ago

Job description

We are seeking a Chief AI Architect to define and drive the AI/GenAI architecture, solution strategy, and industrialization roadmap across a large-scale Google Cloud portfolio.

This role is responsible for turning AI from experimentation into scalable, production-grade capabilities, enabling agentic workflows, platformized AI adoption, and measurable business outcomes across all engagements.

Key Responsibilities

1. AI Architecture & Strategy

Define the end-to-end AI architecture vision:

GenAI, ML, Data platforms, Agent frameworks

Establish reference architectures and reusable patterns for:

Vertex AI, LLMs, multi-model orchestration

Align AI strategy to:

Business priorities

Portfolio growth and differentiation

2. Agentic & GenAI Solution Design

Lead design of:

Agentic systems (multi-agent workflows, orchestration models)

Enterprise GenAI applications

Define patterns for:

Prompt engineering

Retrieval-Augmented Generation (RAG)

Tool augmentation / API integration

Ensure solutions are:

Scalable

Secure

Production-ready

3. AI Industrialization & Platforms

Drive AI platformization across the portfolio:

Reusable components

Shared services and APIs

Build accelerators for:

AI-led onboarding

Validation

Support workflows

Establish AI as a horizontal capability across all towers (FDE, ISV, GWS, etc.)

4. Data & AI Integration

Define architecture for:

Data pipelines

Feature stores

Real-time and batch processing

Ensure tight integration between:

Data platforms (BigQuery, Dataflow, etc.)

AI/ML models

Enable data-to-AI lifecycle maturity

5. Governance, Risk & Responsible AI

Establish AI governance frameworks:

Model evaluation

Bias and safety checks

Explainability

Ensure compliance with:

Security, privacy, and regulatory standards

Define guardrails for enterprise AI adoption

6. CXO Advisory & AI Evangelization

Act as the AI thought leader for client CXOs

Lead:

AI strategy discussions

Innovation workshops

Executive demos

Translate AI capabilities into:

Business outcomes

ROI-driven transformation cases

7. Deal Support & Technical Differentiation

Anchor the AI narrative in all strategic deals

Work with BRMs and CTO to:

Shape AI-led solutions

Position differentiated value propositions

Support high-impact:

RFP s

Orals

Executive pitches

8. Talent & Capability Building

Define capability roadmap for:

AI engineers

Data scientists

FDEs with AI specialization

Drive:

AI bootcamps

Certification pathways

Build a high-caliber AI engineering ecosystem

Required Qualifications

15–20+ years of experience in:

AI/ML architecture, data platforms, or advanced engineering roles

Deep expertise in:

GenAI (LLMs, RAG, agent frameworks)

Cloud AI ecosystems (preferably Google Cloud / Vertex AI)

Strong track record in:

Designing and deploying enterprise-grade AI systems

Preferred Qualifications

Experience in:

Agentic systems / autonomous workflows

AI platform engineering and MLOps

Exposure to:

Multi-cloud AI environments

Strong executive communication and thought leadership presence

Success Metrics (What Good Looks Like)

AI embedded across all major workflows and solutions

High adoption of AI accelerators and reusable components

Measurable business impact (cycle time reduction, cost savings, productivity gains)

Strong AI-led differentiation in deals and client engagements

Mature AI governance and production-grade implementations

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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