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Head Of Ai Engineer Salary In Jobs (NOW HIRING)

The Head of AI is an essential part of the Waverly Advisors team. The Head of AI will lead the ... data engineering leadership. * 4+ years in an AI or data leadership role. * Proven expertise ...

Posted today

Technology Head of AI

Manhattan, NY · On-site

$184 - $276/hr

Build the target operating model for AI engineering and MLOps, including model lifecycle management ... In addition to the base salary, this position may be eligible for performance-based incentives.We ...

Head of AI Product

Manhattan, NY · On-site

$130 - $170/hr

Partner with engineering and AI teams to bring new capabilities from concept to production * Define ... Understand customer workflows in legal and regulated environments * Translate complex requirements ...

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 ...

Head of AI

Manhattan, NY · On-site

$180 - $280/hr

Direct engineers, analysts, and other contributors; recruit talent and build a culture of technical ... Interest in re‑architecting organizational workflows within a venture firm * Crisp written and ...

New

Head of AI Applications

Santa Clara, CA · On-site

$269K/yr

Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to ... In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of ...

AI Engineer

San Francisco, CA · On-site

$125K - $175K/yr

San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by ... AI Engineer As AI Engineer, you will work directly under the Head of AI -- a researcher with ...

Head of AI - Platform AI

Ashburn, VA · On-site

$215K - $245K/yr

Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to ... Lead the end-to-end lifecycle of AI projects, including data engineering, model development ...

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 ...

Head of AI Documentation

Sunnyvale, CA · On-site

$205 - $286/hr

Experience in technical writing, developer documentation, or developer relations, with experience ... of our cutting-edge AI models, delivering unparalleled computing power to global services, and ...

We are looking for a Head of AI to own that layer end-to-end. This is not a research role. It is a ... Qualifications Required * 7+ years in data engineering, ML engineering, or AI product roles -- with ...

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Head Of Ai Engineer Salary In information

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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 19, 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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Cities with the most Head Of Ai Engineer Salary In job openings:

What states have the most Head Of Ai Engineer Salary In jobs?

States with the most job openings for Head Of Ai Engineer Salary In jobs include:

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.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago

Posted today


Job description

Waverly Advisors' primary goal is to serve our clients, one another, and our communities. Wearen'tyour typical wealth management firm. Our intense client focus is at the center of everything we do. We go far beyond just managing our clients' investments, offering truly in-depth financial planning. We set ourselves apart byactually livingand acting on our guiding principle, 'Serve.' It is the reason we go to work every day. 

In this role,you'llbe challenged to take on work that upholds our guiding principle and drives Waverly Advisors forward. We hopeyou'llgrow as a person and leader in your field and transform those around you as well. 

We are looking to add a Head of AI to our team in our Birmingham, AL location. The Head of AI is an essential part of the Waverly Advisors team. The Head of AI will lead the development of the firm's AI and enterprise data strategy and platform as a critical member of CIO's leadership team. This role owns the firm's AI vision and roadmap, including the evaluation, implementation, and ongoing management of AI tools and the supporting infrastructure required to scale AI capabilities across the firm. 

The Head of AI will drive the unification of data across all SaaS systems to enable advanced analytics, automated workflows, agentic AI capabilities, and superior client experiences - while ensuring the highest standards of security, governance, and regulatory compliance in a fast-growing RIA. 

Responsibilities: 

  • Define and execute the firm's AI and enterprise data strategy and roadmap, centered on the Databricks lake on Azure. 
  • Lead data ingestion, quality, governance, and integration efforts across all major platforms (Salesforce, Orion, custodians, etc.). 
  • Provide strategic leadership and oversight of the Salesforce ecosystem and team. 
  • Champion the delivery, adoption, and ongoing management of high-impact AI solutions and data-driven applications to ensure sustained productivity gains and measurable ROI. 
  • Build and lead a high-performing AI and Enterprise Data team while fostering strong collaboration with Security, Infrastructure, and business partners. 
  • Lead the AI Steering Committee, setting the firm's AI strategy, ensuring data readiness for AI, and driving execution of data-powered AI initiatives (agents, workflows, analytics). 
  • Drive measurable business outcomes through better data - improving operational efficiency, advisor productivity, and client experience. 
  • Manage cloud spend, vendors, and platform economics with a strong focus on ROI. 

Required Qualifications and Experience:  

  • 10+ years of progressive experience in AI, enterprise data, data platform, or data engineering leadership. 
  • 4+ years in an AI or data leadership role. 
  • Proven expertise designing and operating Databricks (or equivalent lakehouse) platforms on Azure at scale, with demonstrated application of that data foundation to AI and agentic workflows. 
  • Significant experience leading Salesforce strategy, governance, or large-scale deployments. 
  • Demonstrated success delivering complex data programs in financial services or a regulated industry (RIA / Wealth Management strongly preferred). 
  • Strong understanding of SEC regulations, data privacy (Reg S-P), AI governance frameworks (e.g., NIST AI RMF), and enterprise risk management. 
  • Bachelor's degree required (Master's or advanced certifications preferred). 

Preferred Qualifications and Experience: 

  • Experience building client-facing digital experiences (onboarding, portals, etc.). 
  • Background with Microsoft Copilot, Power Platform, or agentic AI workflows; experience evaluating or deploying third-party AI vendors. 

Travel: 

  • Some travel isrequired. 

Physical Requirements: 

  • Prolonged periods of sitting at a desk and working on a computer. 
  • Must be able to lift 15 pounds at times. 
  • Must be able to access and navigate each department at the organization's facilities. 

Benefits: 

  • Comprehensive Health, Dental, and Vision coverage to support your overall wellbeing. 
  • 401(k) retirement plan with match and profit sharing to help you invest in your future. 
  • Twelve paid holidays each year. 
  • An extra vacation day during your birthday week-so you cancelebrateyou! 
  • Responsible Time Off Policygivingflexibility without annual PTO limits, while balancing team responsibilities and business needs. 
  • Paid sabbatical program: Enjoy four consecutive weeks of paid time off after seven years of service. 
  • Compensationcommensuratewith experience. 

Legal: 

Waverly Advisors, LLC. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, gender, genetic information, national origin, disability, uniform service, veteran status, age, or any other classification protected by federal, state, or local law.