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Artificial Intelligence Advisor Jobs (NOW HIRING)

PenFed Credit Union

SVP Artificial Intelligence

Mclean, VA · On-site

$158K - $198K/yr

Overview PenFed is hiring a SVP Artificial Intelligence at our Tysons, Virginia location. The ... The SVP serves as a trusted advisor to Executive Leadership and the Board on AI-related ...

IntelliGenesis

$200 - $250/hr

We are seeking an experienced Artificial Intelligence Subject Matter Expert (AI SME) to serve as a ... Serve as the principal AI technical advisor supporting AI education, workforce development, and ...

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How much do artificial intelligence advisor jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for artificial intelligence advisor in the United States is $25.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $29.81 per hour, depending on experience, location, and employer.

What is an artificial intelligence advisor?

An Artificial Intelligence Advisor is a professional who provides expert guidance on the implementation, development, and ethical use of AI technologies within an organization. They assess business needs, recommend suitable AI solutions, and help integrate these technologies into existing systems. Their role often includes evaluating AI strategies, ensuring compliance with regulations, and staying up-to-date with the latest advancements in the field. AI Advisors bridge the gap between technical teams and business leaders to maximize the value and minimize the risks of AI adoption.

What are the key skills and qualifications needed to thrive as an artificial intelligence advisor?

To thrive as an Artificial Intelligence Advisor, you need a strong background in computer science, data analysis, and machine learning, often supported by an advanced degree and relevant industry experience. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valuable. Strong communication, problem-solving, and stakeholder management skills help you translate complex AI concepts into actionable business strategies. These capabilities are crucial for successfully guiding organizations in leveraging AI technologies to drive innovation and achieve business objectives.

How does an artificial intelligence advisor typically collaborate with cross-functional teams within an organization?

An Artificial Intelligence Advisor frequently works alongside departments such as IT, data science, operations, and business strategy to identify opportunities for AI integration and innovation. Collaboration often includes translating business requirements into technical solutions, advising on the ethical use of AI, and guiding teams through implementation best practices. Effective communication and stakeholder management are crucial, as the advisor helps bridge the gap between technical teams and business leaders to ensure AI initiatives align with organizational goals.

How to become an artificial intelligence advisor?

To become an artificial intelligence advisor, individuals typically need a strong background in computer science, data science, or related fields, often with a master's or doctoral degree. Gaining experience in machine learning, programming languages like Python, and familiarity with AI tools and frameworks is essential, along with developing problem-solving and communication skills to advise organizations effectively.

What does an artificial intelligence advisor do?

An artificial intelligence advisor analyzes data and develops AI strategies to help organizations implement AI solutions. They often work with machine learning models, data analysis tools, and programming languages like Python to optimize AI systems and ensure they meet business goals.
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Artificial Intelligence Advisor jobs near you
Infographic showing various Artificial Intelligence Advisor job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $53,941 per year, or $25.9 per hour.

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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