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Manager Artificial Intelligence Jobs (NOW HIRING)

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$29K

$135.8K

$199.5K

How much do manager artificial intelligence jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager artificial intelligence in the United States is $135,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $176,000.00 per year, depending on experience, location, and employer.

What does a manager of artificial intelligence do?

A Manager of Artificial Intelligence oversees teams and projects that develop and implement AI solutions within an organization. Their responsibilities include setting strategic goals for AI initiatives, managing budgets and timelines, coordinating with other departments, and ensuring that AI systems are aligned with business objectives. They also stay updated on the latest advancements in AI technologies and ensure ethical standards and compliance are maintained. This role requires both technical knowledge of AI and strong leadership skills to guide multidisciplinary teams.

What are the key skills and qualifications needed to thrive as a manager of artificial intelligence?

To thrive as a Manager of Artificial Intelligence, you need a strong background in computer science, machine learning, and data analytics, often supported by advanced degrees and experience in AI project leadership. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and certifications like AWS Certified Machine Learning are typically valued. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning projects with business goals. These skills ensure successful development and deployment of AI solutions that drive organizational value and innovation.

How does a manager of artificial intelligence typically collaborate with cross-functional teams within an organization?

A Manager of Artificial Intelligence frequently works alongside data scientists, engineers, product managers, and business stakeholders to align AI initiatives with organizational goals. They facilitate communication between technical and non-technical teams, ensuring that project requirements are clearly understood and that AI solutions support broader business strategies. This collaborative environment often involves regular meetings, progress updates, and joint problem-solving sessions to address challenges and optimize outcomes.

What is the difference between Manager Artificial Intelligence vs Data Scientist?

AspectManager Artificial IntelligenceData Scientist
CredentialsMaster's or PhD in AI, Computer Science, or related fieldsMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Industry UsageUsed in organizations deploying AI solutions, tech companies, R&DUsed across industries for data analysis, predictive modeling

The main difference is that a Manager Artificial Intelligence oversees AI projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and builds models. Managers handle leadership and project management, whereas Data Scientists focus on technical analysis and model development.

What is the highest paying job in artificial intelligence?

The highest paying roles in artificial intelligence are often senior positions such as AI Director, Chief AI Officer, or AI Research Scientist at leading tech companies, with salaries exceeding $200,000 annually. These roles typically require advanced degrees, extensive experience, and expertise in machine learning, deep learning, and data science tools.
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What cities are hiring for Manager Artificial Intelligence jobs?

Cities with the most Manager Artificial Intelligence job openings:

What are the most commonly searched types of Artificial Intelligence jobs?

The most popular types of Artificial Intelligence jobs are:

What states have the most Manager Artificial Intelligence jobs?

States with the most job openings for Manager Artificial Intelligence jobs include:

Infographic showing various Manager Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $135,829 per year, or $65.3 per hour.

Business Development Manager, Artificial Intelligence Solutions

Armaninollp

Salt Lake City, UT

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Key responsibilities

  • Source, develop, and win AI-focused technology consulting services engagements.

  • Manage all aspects of sales for new business opportunities from prospecting to contract negotiations.

  • Build and maintain a robust sales pipeline through research, lead qualification, and ongoing relationship management.


Job description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

Job Responsibilities

Business Development and Revenue Generation

  • Originate, develop, and close new AIS opportunities with existing and prospective clients.

  • Lead executive discovery discussions to identify business challenges that can be addressed through AI, analytics, automation, data platforms, and technology-enabled solutions.

  • Collaborate with AIS leadership and technical leaders to develop and execute go-to-market strategies.

  • Shape solution approaches and business cases that align client objectives with AIS capabilities.

  • Lead or support proposals, presentations, demonstrations, and commercial negotiations.

  • Expand strategic client relationships by identifying opportunities for additional AIS and firmwide services.

  • Contribute to the development of new offerings, industry solutions, and growth strategies.

Executive Client Relationship Leadership

  • Serve as an executive sponsor and senior relationship leader for strategic AIS clients.

  • Maintain executive continuity from opportunity development through implementation and ongoing expansion.

  • Build trusted relationships with CEOs, CFOs, CIOs, COOs, private equity sponsors, family offices, and other senior decision-makers.

  • Ensure technology initiatives remain aligned with broader business and organizational objectives.

  • Identify emerging client needs and proactively introduce new ideas, capabilities, and resources.

  • Navigate complex stakeholder environments across business functions and technology teams.

Advisory and Solution Strategy

  • Help clients develop and execute strategies involving data platforms, analytics, artificial intelligence, automation, application development, and digital transformation.

  • Guide organizations through foundational initiatives required to support AI adoption, including data quality, governance, integration, and architecture considerations.

  • Develop strategic roadmaps that connect near-term initiatives with longer-term transformation objectives.

  • Collaborate with delivery leaders to establish executive governance structures for major engagements.

  • Remain actively engaged throughout the client lifecycle to ensure expectations, outcomes, and business value remain aligned.

Business and Technology Alignment

  • Translate business objectives into actionable requirements for technical delivery teams.

  • Help executive stakeholders understand technology investments in terms of business outcomes, value realization, risks, and organizational impact.

  • Partner with architects, engineers, developers, and data professionals to develop practical, technically sound, and commercially relevant solutions.

  • Keep discussions focused on business value and measurable outcomes rather than technology for technology's sake.

Cross-Firm Collaboration

  • Partner with leaders across Consulting and other firm service lines to identify opportunities where AIS solutions can enhance client outcomes.

  • Help account teams recognize opportunities related to AI, analytics, automation, and digital transformation.

  • Facilitate integrated solutions that leverage the broader capabilities of the firm.

  • Build strong relationships with firm leadership, industry leaders, partners, managing directors, and technical teams.

Thought Leadership and Market Presence

  • Represent Armanino and AIS at industry events, conferences, webinars, client forums, and networking activities.

  • Develop thought leadership focused on practical AI strategy, analytics, data transformation, and emerging technologies.

  • Promote practical and responsible AI adoption through market-facing content and client engagement.

  • Help strengthen Armanino's market position as a trusted, business-focused technology advisor.

  • Support the development of industry-specific AIS solutions, particularly within real estate and construction.

Requirements

  • Significant experience in consulting, advisory, professional services, technology, finance transformation, or a related field, including demonstrated success developing and expanding executive-level client relationships.

  • Proven record of originating, influencing, and closing complex consulting or technology engagements involving multiple stakeholders, service lines, disciplines, or technical teams.

  • Strong understanding of business strategy, operating models, organizational transformation, and the connection between technology investments and measurable business outcomes.

  • Working knowledge of data platforms, business intelligence, analytics, artificial intelligence, automation, and modern technology ecosystems.

  • Executive presence, strong commercial judgment, and the ability to influence and lead effectively without relying on direct organizational authority.

  • Flexibility to work from home while collaborating in person half the time.

Preferred Qualifications

  • Experience serving clients within real estate, construction, private equity, family office, Office of the CFO, or adjacent industries.

  • Experience building and scaling consulting, advisory, or technology service offerings.

  • Understanding of AI adoption, data modernization, data governance, and digital transformation initiatives.

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Certain states require us to disclose the pay range and benefits summary for job openings. For Colorado residents, the compensation range for this position: $124,100 - $169,100. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $136,500 - $185,900. For Northern California residents, the compensation range for this position: $142,700 - $194,400. Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.

Armanino has a robust offering of benefits, including:

  • Medical, dental, vision

  • Generous PTO plan and paid sick time

  • Flexible work arrangements

  • 401K with Profit Sharing

  • Wellness program

  • Generous parental leave

  • 11 paid holidays

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

To view our Consumer Notice at Collection for job applicants, please visit: https://www.armanino.com/terms/ccpa-employee-notice/

We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.