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Head Of Ai Engineer Salary In Jobs (NOW HIRING)

Head of AI

San Francisco, CA ยท On-site

$180 - $220/hr

You are a good fit if you have: * 7+ years in ML/AI engineering, with 3+ years leading teams or ... Perks * Competitive salary and generous equity package * Health, dental, and vision insurance

AI Engineer

Birmingham, MI ยท On-site

$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 ...

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 ...

New

Technology Head of AI

New York, NY ยท On-site

$230K - $276K/yr

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 ยท On-site

$255K - $267K/yr

Head of AI Product About BetaNXT BetaNXT is a leading provider of frictionless wealth management ... with engineering, architecture, data, security, risk, legal, sales and operations teams in a ...

New

... in musculoskeletal care. We sit at the intersection of AI, robotics, and healthcare, operating ... Own company-wide hiring across engineering, AI, product, GTM, operations, clinical, manufacturing ...

New

WI ยท On-site

$180 - $240/hr

Head of AI & Data Platform Engineering - Specialty Distribution** to join our growing team in **Plano, TX or Daytona Beach, FL!**The Head of AI and Data Platforms is responsible for leading the ...

AI Engineer

Phoenix, AZ ยท 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 - Engineering & Product

Boston, MA ยท 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 ...

Head of AI Platform Engineering

Chicago, IL ยท On-site

$214.79 - $252.70/hr

The Head of AI Platform Engineering will spearhead the bank's enterprise-wide AI technology ... In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and ...

Head of AI Platform Engineering

Atlanta, GA ยท On-site

$173K - $223K/yr

The Head of AI Platform Engineering will spearhead the bank's enterprise-wide AI technology ... In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and ...

Head of AI Strategy

Liverpool, TX ยท On-site

$133.87 - $187.42/hr

In return, you'll enjoy heaps of flexibility, great perks and benefits, and the freedom to be ... About the role As The Very Group accelerates the adoption of AI across the organisation, the Head ...

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Head Of Ai Engineer Salary In information

See salary details

$36.5K

$107.3K

$137.5K

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

As of Aug 9, 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 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.

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.
More about Head Of Ai Engineer Salary In jobs
What cities are hiring for Head Of Ai Engineer Salary In jobs? 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.

Head of AI

Highlight AI

San Francisco, CA โ€ข On-site

$180 - $220/hr

Other

Medical, Dental, Vision, PTO

Re-posted 27 days ago


Job description

Job Title:

Head of AI Engineering

Location:

NYC or SF (On-site, 5 days a week)

About Highlight AI

We're a small, senior team building the intelligent OS for the agentic age. Highlight is a proactive AI that captures your team's context, surfaces what matters, and handles the busywork so you can focus on decisions and building. We ship fast, obsess over craft, and care deeply about user experience and trust. Backed by General Catalyst, Valor, SV Angel, and Conviction, weโ€™re looking for like-minded people to help define how the next generation of knowledge workers get things done.

The Role

We're hiring a Head of AI Engineering to lead and scale our ML and AI efforts as we build the engine that powers Highlight. You'll own the architecture, quality, and roadmap for how we ingest, model, and surface context, starting from data pipelines and evals to the context graph that makes our system truly useful. This is a handsโ€‘on leadership role: you'll write code, set technical direction, mentor engineers, and collaborate closely with Backend and Product teams to ship features that feel like magic.

We're looking for a technical leader who's equally comfortable diving into model architectures and rallying a team around ambitious goals. You have deep expertise in LLMs, knowledge systems, and retrieval. You're energized by the challenge of building something new. You thrive in ambiguity, ship fast, and hold yourself and your team to a high bar.

Note: this is an onโ€‘site role, requiring five days a week in our SF or NYC office.

Job Responsibilities
  • Own the context graph: architect and build Highlight's memory systems end-to-end, including data ingestion, modeling, retrieval, and evals

  • Research, prototype and deploy state-of-the-art machine learning text and OCR models (e.g., transformer architectures, computer vision, time series forecasting, reinforcement learning)

  • Lead the full ML project lifecycle: data pipelines, training, evals, deployment, monitoring, scalability, latency, retraining, A/B testing, and model lifecycle management

  • Own output quality across Highlight chat, actions, and workflows; drive toward industry leading acceptance rates.

  • Build and lead a worldโ€‘class ML Engineering team; Establish AI/ML best practices across the broader engineering org.

  • Stay current on knowledge representation, continual learning, and retrieval; translate insights into features that feel like magic; Research novel approaches and publish when appropriate.

Profile

Weโ€™re looking for someone who is interested in building the AI user experience for the future. We punch above our weight so we value extreme ownership, accountability, and proactiveness. The ideal candidate has deep, experienced understanding of LLMs or Knowledge systems, and a track record of shipping production AI systems at scale.

You are a good fit if you have:

  • 7+ years in ML/AI engineering, with 3+ years leading teams or major technical initiatives

  • Masterโ€™s or PhD in Computer Science, Machine Learning, Statistics, Applied Math or equivalent experience.

  • Published research (or experience shipping to production) in knowledge graphs, memory systems, retrieval, or continual learning

  • Experience working at top AI labs (e.g. DeepMind, OpenAI, Anthropic, Meta FAIR, xAI) or leading AI application companies (e.g. Google, Cursor, Perplexity)

  • Strong architectural chops: you've designed and scaled ML infrastructure from scratch

  • Handsโ€‘on proficiency with modern ML stacks (PyTorch, TensorFlow, RAG, vector DBs, cloud infra)

  • A playerโ€‘coach mentality: you love mentoring engineers and getting your hands dirty in the code

  • Ownership mentality (no task is too small for you) โ€“ itโ€™s all hands on deck here and we need everyone rowing the boat.

  • Excellent communication skills and a collaborative mindset โ€“ weโ€™re extremely lean so weโ€™re looking for a team player who works well with others.

  • Typeโ€‘A tendencies: maybe youโ€™re extremely detailโ€‘oriented. Or maybe you take pride in shipping highโ€‘quality products. Whatever it is you do, you give it your all.

  • Must be based in or willing to relocate to NYC or SF โ€“ although weโ€™re flexible with days off & schedules, we have a 100% inโ€‘office culture during the week.

And even if you donโ€™t fall neatly into any of these buckets, weโ€™re looking for scrappy and motivated selfโ€‘starters above all. Hustle is expected, grit is required.

Perks
  • Competitive salary and generous equity package

  • Health, dental, and vision insurance

  • Flexible PTO and parental leave

  • Paid team lunches during the week

  • Relocation package

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