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Head Of Ai Engineer Salary In Jobs (NOW HIRING)

Atos

Head of AI

OR · On-site +1

Reports to: Head of Data & AI - North America * Direct reports: AI practice leadership team ... Required Qualifications * 15+ years of experience in technology consulting, product engineering, or ...

L'Oreal

AVP, Head of AI Solutions

New York, NY · On-site

$171K - $215K/yr

... Engineers, and Software engineers. * People Leadership & Development: Experience in leading ... Salary Range : $147,100 - $213,300 (The actual compensation will depend on a variety of job-related ...

Janus Henderson Investors

Head of AI

Denver, CO · On-site

$161K - $202K/yr

Implement robust data management in partnership with data engineering teams for protocols to ensure ... Continuing education courses Compensation information The base salary range for this position is ...

Dickerson Group

$250 - $300/hr

About Alera Group Founded in 2017, Alera Group has grown to become the 12th largest broker of U.S ... Salary Range: $250,000 - $300,000 annually * Bonus Eligible: Yes (Performance Based) Benefits ...

Posted today

Moonshot

Head of AI Safety

Washington, DC

This is not an engineering or data-science role, but it is a hands-on position requiring the ... Candidates must be based in MA, CO, NY, VA, GA, PA, MD, WI, TN, TX, OR, NJ, or DC. Occasional ...

Moonshotteam

Head of AI Safety

Washington, DC · On-site

$110 - $145/hr

This is not an engineering or data-science role, but it is a hands‑on position requiring the ... Candidates must be based in MA, CO, NY, VA, GA, PA, MD, WI, TN, OR, NJ, or DC. Occasional travel ...

Moonshot

Head of AI Safety

Atlanta, GA

This is not an engineering or data-science role, but it is a hands-on position requiring the ... Candidates must be based in MA, CO, NY, VA, GA, PA, MD, WI, TN, TX, OR, NJ, or DC. Occasional ...

Max AI, Inc.

AI Engineer

Ann Arbor, MI

$150K - $250K/yr

And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the ...

Everest Re Group

Group Head of AI

New York, NY · Hybrid

$250K - $310K/yr

Bachelor's degree in science, engineering, or math. An advanced degree is preferred. #LI-Hybrid #LI ... The base salary range for this position is $250,000 - $310,000 annually. The offered rate of ...

Stark Defence

$120 - $180/hr

About Us STARK is a new kind of defence technology company revolutionising the way autonomous ... Internal AI tooling in production use, measurably changing how engineering and operations work day ...

Broccoli AI

Head of AI Success

San Francisco, CA · On-site

We've grown to $15M+ ARR in under two years. * We're trusted by everyone from independent ... Head of AI Success @ Broccoli This is not a traditional Head of Customer Success role (and previous ...

SimpliSafe

Head of AI - Engineering & Product

Boston, MA · Hybrid

$253K - $265K/yr

What sets SimpliSafe apart in the AI space: many companies focus on SaaS and machine learning. We ... What You'll Do Reporting to the Chief Technology Officer, this Head of AI will lead SimpliSafe ...

Brahma Consulting Group

Head of AI

Palo Alto, CA · On-site

$350K - $500K/yr

Interface with hardware engineers to identify bottlenecks in chip design pipelines that ML can ... Stay ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression ...

Ericsson

Head of AI and Automation

Plano, TX · On-site

Bachelor's degree in engineering, Computer Science, Business, or related field; Master's degree ... Your Pay The salary range for this position is dependent on various factors including, but not ...

Gusto

Head of AI and Machine Learning Engineering

They are seeking a strategic Head of AI and Machine Learning Engineering to lead the development ... Required : • 10+ years of experience leading teams in applied machine learning, AI, engineering ...

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$36.5K

$107.3K

$137.5K

How much do head of ai engineer salary in jobs pay per year?

As of Aug 23, 2026, the average yearly pay for head of ai engineer salary in in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the average salary for a head of AI engineer?

The average salary for a Head of AI Engineer can vary widely depending on the region, company size, and the candidate's experience. In the United States, the salary typically ranges from $180,000 to over $300,000 per year, often including bonuses, stock options, and other benefits. Senior leadership roles in AI engineering, especially at large tech companies or startups with significant funding, can command even higher compensation packages. Factors such as industry, location, and company performance also play a significant role in determining salary.

What are some common challenges faced by a head of AI engineering in balancing technical leadership and team management?

As a Head of AI Engineering, one of the most common challenges is striking the right balance between staying hands-on with advanced AI technologies and focusing on strategic leadership and team management. This role often requires overseeing high-level project direction, mentoring engineers, and aligning AI initiatives with business goals, all while keeping up with rapid advancements in the AI field. Effective communication and delegation are crucial, as is fostering a collaborative culture where team members are empowered to innovate and solve complex problems. Navigating these demands successfully enables both personal growth and the long-term success of the AI team.

What are the key skills and qualifications needed to thrive as a head of AI engineering, and why are they important?

To thrive as a Head of AI Engineering, you need deep expertise in machine learning, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and experience managing large-scale AI projects are essential, as are certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Strong leadership, strategic thinking, and excellent communication skills set top candidates apart in this role. These competencies are crucial for driving innovation, aligning technical teams, and delivering impactful AI solutions that support organizational goals.

What is the difference between Head Of Ai Engineer Salary In vs Machine Learning Engineer?

RoleAverage SalaryKey Responsibilities
Head Of Ai Engineer$150,000 - $200,000Leading AI teams, strategic planning, overseeing AI projectsMachine Learning Engineer$90,000 - $130,000Developing ML models, data analysis, implementing algorithms

The main difference between the Head Of Ai Engineer and Machine Learning Engineer salaries lies in the seniority and scope of responsibilities. The Head Of Ai Engineer typically earns a higher salary due to leadership duties and strategic oversight, whereas Machine Learning Engineers focus on technical implementation and development. Both roles require strong credentials in AI and machine learning, but the leadership position commands a premium in compensation.

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Head Of Ai Engineer Salary In jobs near you
Infographic showing various Head Of Ai Engineer Salary In job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Head of AI

Atos

OR • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
• Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

• Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

• Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

• Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

• Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

• Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

• Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.

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