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Ai 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 company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...

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 company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...

Uare.ai

AI / Video Engineer

Los Altos, CA · On-site

At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together - to build, share, and interact with AI versions of themselves.

Unconventional AI

AI Theory

Unconventional AI is on a mission to revolutionize computing efficiency for AI applications. They are seeking a Member of Technical Staff who will tackle complex technical challenges at the ...

Treasure AI

AI Deployment Consultant

Manhattan, NY · On-site

$120 - $180/hr

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through ...

Bigbear.ai

Senior AI Engineer

Annapolis Junction, MD · On-site

$114K/yr

Residency All applicants must currently reside in the United States Overview BigBear.ai is seeking a BigBear.ai is seeking a motivated Senior AI Engineer with a proven track record in software ...

Aegis AI

AI Architect

New York, NY · On-site

$69 - $90.75/hr

Adversaries are using AI to craft customized, high-evasion attacks - and old-school rules-based systems don't stand a chance. Your Mission: Architect a constellation of AI Agents - fast, cheap, and ...

Treasure AI

AI Deployment Consultant

Manhattan, NY

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through ...

F2 AI

Applied AI Engineer

San Francisco, CA · On-site

$130 - $170/hr

Applied AI Engineer ENGINEERING | San Francisco, New York City | On-site | Full-time The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace ...

New

Delfino AI

Founding AI Engineer

$106K - $143K/yr

Delfino AI is an early stage, Y Combinator-backed health tech start-up that uses generative AI to help automate the calls that providers' offices make to payors. They are seeking a Founding AI ...

EnCharge AI

AI Compiler Engineer

$195K - $265K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

Hum AI

AI Researcher

San Francisco, CA · On-site

AI Researcher Location: San Francisco About Hum.ai Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building. Join us at the cutting edge ...

Raspberry AI

AI Transformation Lead

New York, NY · On-site

AI Transformation Lead About the Role Raspberry AI is looking for an AI Transformation Lead to help the world's leading fashion and retail brands rethink how product creation happens in the age of ...

Distyl AI

AI Engineer, Lead

New York, NY · On-site

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the ...

Bluefish AI

Customer AI Analyst

New York, NY · On-site

Bluefish is on the cutting edge of AI-powered SaaS, helping marketers understand AI marketing performance and optimization. We're looking for a sharp, customer-savvy Customer AI Analyst who ...

Hippocratic AI

Staff AI Engineer

Menlo Park, CA · On-site

About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs ...

Codvo.ai

Edge AI Product Owner - Medical Devices & AI Experience Level: 5-8 Years Department: Product, Data and AI Engineering About the Role: We are seeking a visionary and technically adept Edge AI Product ...

EnCharge AI

$175K - $245K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

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How much do ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai in the United States is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $68.27 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.
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ai jobs near you
Infographic showing various Ai job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 84% Full Time, and 8% Contract. Highlights an 54% In-person, and 46% Remote job distribution, with an average salary of $127,720 per year, or $61.4 per hour.

Principal AI Engineer

h2o.ai

Dallas, TX • On-site

Full-time

Re-posted 26 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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