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Executive Ai Engineer Salary In Jobs (NOW HIRING)

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI ... Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI ... Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as ...

KPMG

Manager, AI Engineer

Chicago, IL · On-site

Lead workshops and design sessions with executives, business stakeholders, and technical teams to ... in the location(s) listed. Any offered salary is determined based on relevant factors such as ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

Lead workshops and design sessions with executives, business stakeholders, and technical teams to ... in the location(s) listed. Any offered salary is determined based on relevant factors such as ...

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion ... In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees. US Salary ...

CEI

Presales AI Engineer

Pittsburgh, PA

Presales AI Engineer CEI America -- Digital Tech & AI Transformation Consulting Location Preference ... Partner with sales teams in client meetings, discovery sessions, and executive briefings

Hippocratic AI

Senior Staff AI Engineer

Menlo Park, CA · On-site

$65 - $84/hr

About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system ... Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI ...

Hippocratic AI

Senior Staff AI Engineer

Menlo Park, CA · On-site

$290 - $420/hr

About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system ... Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

The candidate does not need to have every skill listed below, but should bring experience in ... Support automated model monitoring reports, executive dashboards, and PDF report generation.

Consumer Cellular

Senior AI Engineer

Scottsdale, AZ · On-site

$55.75 - $71.75/hr

... executive leadership and business domain owners to identify opportunities where AI can ... Success in this role requires someone who is equally comfortable discussing enterprise AI strategy ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Support automated model monitoring reports, executive dashboards, and PDF report generation ... Required Qualifications Bachelor s degree in Computer Science, Engineering, Data Science ...

Brooksource

AI Engineer

Miami, FL · On-site

$55 - $65/hr

Senior AI Engineer (Agentic AI) Miami, FL On-Site role. Compensation: $65 ABOUT THE ROLE Our client ... salary. Additional factors considered in extending an offer include (but are not limited to ...

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

As of Aug 13, 2026, the average yearly pay for executive ai engineer salary in in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Ai Engineer Salary In vs Data Scientist?

AspectExecutive Ai EngineerData Scientist
Average Salary$120,000 - $180,000$90,000 - $130,000
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in AI toolsDegree in Data Science, Statistics, or Computer Science; certifications in data analysis
Work EnvironmentTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions
Industry UsageDeveloping AI strategies, leading AI projectsAnalyzing data, building models, deriving insights

While Executive Ai Engineers typically command higher salaries due to leadership roles in AI development, Data Scientists focus more on data analysis and model building. Both roles require strong technical skills, but Executive Ai Engineers often have additional managerial responsibilities, influencing salary differences across industries.

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Principal AI Engineer

h2o.ai

Dallas, TX • On-site

Full-time

Re-posted 20 days ago

Job description

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
For more information, visit www.h2o.ai.
About This Opportunity
We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.
You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.
This position is based in Dallas, Texas and requires onsite customer interfacing.
What You Will Do
Customer Engagement Leadership
  • Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes.
  • Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams.
  • Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership.
  • Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again.
  • Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust.
  • Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice.

Agentic AI & LLM Engineering
  • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows.
  • Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use.
  • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety.
  • Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements.

End-to-End AI Application Development
  • Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment.
  • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows.
  • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale.
  • Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production.

Team Collaboration & Delivery Excellence
  • Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan.
  • Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team.
  • Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery.
  • Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues.

What We Are Looking For
Experience & Background
  • 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.
  • Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them.
  • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar.
  • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent).
  • Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes).

Skills & Capabilities
  • Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones.
  • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.
  • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM.
  • Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications.
  • Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly.
  • Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving.

How to Stand Out From the Crowd
  • Kaggle or competitive ML experience.
  • Familiarity with H2O.ai products, Wave, or H2O Document AI.
  • Experience in financial services, healthcare, or other regulated industry AI deployments.
  • Exposure to tabular foundation models, AutoML, or enterprise ML platforms.
  • Prior experience in a customer-facing or field engineering role.

Why H2O.ai?
  • Market leader in total rewards
  • Remote-friendly culture
  • Flexible working environment
  • Be part of a world-class team
  • Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose.
Please visit www.H2O.ai to learn more.
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For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our Candidate Privacy Notice.
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About H2O.ai

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

Social media

Twitter

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