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Ai Solutions Engineer Jobs (NOW HIRING)

AI Solutions Engineer

Washington, DC · On-site

$160K - $200K/yr

The AI Solutions Engineer will assist with building the AI capabilities used by end-users, administrators, and the application development community. Our client is committed to a journey that will ...

AI Solutions Engineer

Chantilly, VA · On-site

$170K - $210K/yr

We are seeking an experienced AI Solutions Engineer with a high-level active security clearance to join our team in Chantilly, Virginia. The successful candidate will lead the development and ...

AI Solutions Engineer

Nashville, TN · On-site

$107K - $170K/yr

Job Title AI Solutions Engineer Join our team to design, build, and scale enterprise AI solutions that transform business processes and drive innovation. This role combines Generative AI, Microsoft ...

$75 - $80/hr

As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and ...

S. We are seeking an AI Solutions Engineer to join our team. In this role, you'll turn our internal knowledge and manual processes into practical AI-assisted workflows - and help bring that ...

Job TitleAI Solutions Engineer Join our team to design, build, and scale enterprise AI solutions that transform business processes and drive innovation. This role combines Generative AI, Microsoft ...

Job TitleAI Solutions Engineer Join our team to design, build, and scale enterprise AI solutions that transform business processes and drive innovation. This role combines Generative AI, Microsoft ...

S. We are seeking an AI Solutions Engineer to join our team. In this role, you'll turn our internal knowledge and manual processes into practical AI-assisted workflows - and help bring that ...

Showing results 21-40

Ai Solutions Engineer information

See salary details

$44.5K

$123.3K

$181.5K

How much do ai solutions engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for ai solutions engineer in the United States is $123,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,500.00 per year, depending on experience, location, and employer.

How does an AI Solutions Engineer typically collaborate with cross-functional teams during a project lifecycle?

AI Solutions Engineers frequently work alongside data scientists, software developers, product managers, and business stakeholders throughout a project's lifecycle. Their role involves translating business requirements into technical AI solutions, integrating models into existing systems, and ensuring seamless deployment. Regular communication and collaboration are essential, as they often lead technical discussions, clarify project goals, and address implementation challenges. This cross-functional teamwork fosters innovation and ensures that AI solutions are practical, scalable, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as an AI Solutions Engineer, and why are they important?

To thrive as an AI Solutions Engineer, you need a strong background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience with AI frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or GCP), and proficiency in programming languages like Python are essential, along with certifications in AI or cloud technologies. Excellent problem-solving, communication, and teamwork skills help you translate business needs into technical solutions and collaborate across departments. These competencies ensure effective development, deployment, and integration of AI solutions that drive business value.

What are AI Solutions Engineers?

AI Solutions Engineers are professionals who design, develop, and implement artificial intelligence-based systems and applications to solve business problems. They bridge the gap between AI research and practical deployment, working closely with data scientists, software engineers, and business stakeholders. Their responsibilities often include creating AI models, integrating them into products or workflows, and ensuring these solutions are scalable, reliable, and aligned with organizational goals.

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

AspectAi Solutions EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong statistical and programming skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teams, implements models in productionAnalyzes data, builds models, interprets results for insights
Employer & Industry UsageTech companies, AI-focused firms, startupsResearch institutions, tech companies, finance, healthcare

While both roles involve AI and data, Ai Solutions Engineers focus on deploying AI solutions in production environments, working closely with engineering teams. Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their focus on implementation versus analysis.

More about Ai Solutions Engineer jobs
What cities are hiring for Ai Solutions Engineer jobs? Cities with the most Ai Solutions Engineer job openings:
What states have the most Ai Solutions Engineer jobs? States with the most job openings for Ai Solutions Engineer jobs include:
What job categories do people searching Ai Solutions Engineer jobs look for? The top searched job categories for Ai Solutions Engineer jobs are:
Infographic showing various Ai Solutions Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $123,284 per year, or $59.3 per hour.
AI Solutions Engineer

Other

Posted 24 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

70th of 213 rated it services


Job description

SAIC has an exciting opportunity for an AI Solutions Engineer to help us transform the way work is done for one of our major government clients. The AI Solutions Engineer will assist with building the AI capabilities used by end-users, administrators, and the application development community. Our client is committed to a journey that will modernize hundreds of legacy applications with unprecedented speed, digitize low-to-no-tech business processes, and outfit the organization with cutting edge tools for planning and decision making. The ideal candidate will have a strong background in traditional application development practices, expertise configuring an agentic harness, and an understanding of the business challenges associated with adopting AI. 

This position is a fully onsite role at the customer location in Washington, DC.

Experience with frontier models and tools such as Claude Code, Codex, OpenCode, or Cursor is essential.

  • Design and configure enterprise AI tools such as agentic harnesses and chatbots.
  • Define and refine strategies for efficient token usage.
  • Support the AI-enabled development of mission applications by troubleshooting integration issues, API errors and system reliability concerns.
  • Train the user community on best practices, limitations and advanced capabilities.
  • Recommend new options to executives as industry capabilities evolve.
  • Monitor the service health and cost associated with AI usage.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
  • 15 years of IT experience, Bachelor's degree in related field. Degree may be substituted with 6 additional years of related experience.
  • Minimum of 10 years of experience developing applications experience.
  • Extensive knowledge of database, middleware, and front-end technologies.
  • Proven track record of application engineering, providing strategic direction, and fostering a collaborative and innovative work environment.
  • Excellent communication and interpersonal skills, with the ability to provide technical assistance, engage with stakeholders, and effectively coordinate with application developers and third-party vendors.
  • Ability to obtain and maintain a Public Trust, citizenship or Green Card with 3 years residency required.

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