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Ai Applications Engineer Jobs (NOW HIRING)

US manufacturingruns onhard-wonexpertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on ... the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on ... the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

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Ai Applications Engineer information

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$50.5K

$110.7K

$152K

How much do ai applications engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai applications engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.
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Infographic showing various Ai Applications Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

AI Applications Manager

Houston, TX • On-site

Other

Medical, Dental, Vision, Life, PTO

Posted 15 days ago


Job description

We’re seeking a driven, technically fluent AI leader who can help AWC multiply the expertise of our employee-owners through the thoughtful and effective use of artificial intelligence. Our team values curiosity, ownership, sound judgment, and a growth mindset, and we’re committed to applying those qualities to solutions that create meaningful value for our customers and our people. US manufacturingruns onhard-wonexpertise: codes, standards, decades of engineering judgment, and the people who carry it.As our AI leader you will guide us to multiply thatexpertisewith care. A builder and a guardian who helps our teams use AI to work faster and smarter, while making sure we do that safely and effectively. Our teams have proven the opportunities exist,demonstratedvalue, and are eager to scale. This new technical leadership role will build that scale from the ground up, with authority and responsibility for results. This is not a policy-writing seat bolted onto someone else's compliance function.

The AI Applications Manager will lead the company-wide adoption and governance of AI applications, partnering directly with business leaders to identify high-value opportunities, build repeatable solutions, and ensure AI is used safely, accurately, and effectively. This is a hands-on technical leadership role with broad responsibility and authority to scale AI capabilities across the organization.

AWC's leadershipoperateson a simple standard: Trust = Intent and Competence. We expect straight talk over politics, ownership over excuses, and mutual respect even in disagreement. We commit to decisions oncethey'remade, then PDCA: plan, do, check, adjust, and try again.You'llfind that standard applied to how AI gets adopted here, too. Not “move fast and hope,” but measure, learn, and earntrustone application at a time.

Reporting to the CIO, this role will work across every business line to strengthen AWC’s Go-to Expertise and Fast Response capabilities. The position is hybrid, with candidates located in Texas or Louisiana preferred.

How you’ll make an impact:

Drive AI Adoption and Business Impact

  • Partner directly with business unit leaders to identify, evaluate, and prioritize AI applications that create measurable business value
  • Coach leaders and teams on how to achieve accurate, well-grounded results from modern AI tools, extending beyond basic prompting to effective application and workflow design
  • Translate successful pilots into repeatable playbooks that can be scaled across business lines so proven practices compound over time

Build and Govern Responsible AI

  • Develop and maintain AWC’s enterprise AI governance framework, including standards for data usage, reference materials, approvals, and production readiness
  • Lead a cross-functional review process with business owners, technical subject matter experts, IT/Security, and Legal
  • Exercise sound judgment and appropriate authority to pause or block AI applications that are not ready for deployment
  • Ensure AI knowledge sources remain current, accurate, and trustworthy so outputs do not become stale or unreliable

Build Scalable AI Capability

  • Begin as a hands-on individual contributor with direct accountability for outcomes, while building the business case and organizational structure needed as adoption grows
  • Create durable AI applications by applying sound practices for data structure, version management, testing, documentation, and long-term maintainability
  • Measure results, gather feedback, and continuously improve AI applications using a Plan-Do-Check-Adjust mindset
  • Serve as a trusted internal resource who helps teams determine where AI can add value and where it is not the right solution

Skills you’ll need:

  • Bachelor's degree in Engineering (Computer, Mechanical, Electrical, Industrial, or related engineering discipline)
  • Demonstrated fluency with modern AI tools and practical experience applying them to real business workflows
  • Strong technical foundation with an understanding of how data is stored, managed, versioned, and used within scalable applications
  • Ability to distinguish between compelling AI demonstrations and solutions that are accurate, durable, secure, and ready for operational use
  • Excellent communication, coaching, and teaching skills, with the ability to make complex technical concepts understandable to non-technical audiences
  • Sound judgment regarding the capabilities and limitations of AI, including the confidence to recommend alternative approaches when AI is not the appropriate solution
  • Strong relationship-building and influencing skills, including the ability to challenge well-sponsored initiatives constructively while remaining a trusted partner
  • Ability to work effectively across business, technical, security, and legal stakeholders in a cross-functional environment
  • Comfort working in an industrial, manufacturing, or engineering environment where technical accuracy and operational reliability have meaningful consequences, or demonstrated ability to quickly build credibility in that setting

Here’s what will set you apart:

  • Hands-on experience building, deploying, or scaling AI applications across multiple business functions
  • Experience establishing AI governance, review processes, or enterprise standards for responsible AI adoption
  • Demonstrated ability to turn successful AI pilots into repeatable, scalable workflows or playbooks
  • Experience partnering with senior business leaders to prioritize technology investments and measure business outcomes
  • A strong bias for action, ownership, continuous improvement, and creating scalable value rather than maintaining the status quo
  • Industrial, manufacturing, engineering, automation, or controls industry experience

The Rewards:

  • Base compensation expected in the $140,000 to $190,000 range, calibrated to experience
  • Annual performance bonus opportunity
  • Employee Stock Ownership Plan (ESOP)
  • Medical, Dental and Vision Insurance Package
  • Employer Paid Life Insurance
  • Paid Time Off and Holiday Pay

About AWC

As employee co-owners, we’re driven to do more than complete tasks; we build fulfilling careers by challenging assumptions and continually raising the bar. We embrace creative, innovative approaches to deepen our expertise and deliver real value to our customers.

AWC is a 100% employee-owned Automation and Controls Engineering company. More than 700 employee-owners work with many of the world’s leading technology brands to help engineering, reliability, and maintenance teams solve complex problems and keep U.S. manufacturing and utility operations running. As experts in our partners’ technologies, we’re equipped to properly size, select, configure, and support the right solutions. Our goal is simple: combine caring, knowledgeable people with innovative technologies to help our customers succeed.

How We Win Together

We are committed to solving customer problems and welcome team members who want to be the trusted resource for those looking for a partner who out-knows, out-cares, and out-serves everyone else. Our leadership operates on a simple standard: Trust = Intent and Competence. We value straight talk over politics, ownership over excuses, and mutual respect even in disagreement. Every day, we strive to empower people to make the greatest positive impact for the communities and families we serve together. When our employee-owners are safe to pursue their passions, learn, serve, and share in the rewards of our combined efforts, then we are Winning Together.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights notice from the Department of Labor.

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