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Ai Solutions Engineer Jobs (NOW HIRING)

Inland Imaging

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our ...

Inland Imaging

AI Solutions Engineer

Inland, NE · Hybrid

$89K - $133K/yr

The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our ...

Atkore

AI Solutions Engineer

Mokena, IL · On-site

AI Solutions Engineer Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the ...

Vadum Inc

AI Solutions Engineer

Raleigh, NC · On-site

The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product ...

Divergent

AI Solutions Engineer

Torrance, CA · On-site

Purpose We are looking for an AI Solutions Engineer who not only builds cuttingedge generativeAI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and ...

Vadum, Inc.

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product ...

Vadum Inc

AI Solutions Engineer

Raleigh, NC

The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product ...

SAIC

AI Solutions Engineer

Washington, DC · On-site +1

$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 ...

Heaven Hill Brands

AI Solutions Engineer

Louisville, KY · On-site

Heaven Hill Brands is seeking an AI Solutions Engineer to manage the lifecycle of AI agents and automation development. The role involves collaborating with various stakeholders to enhance employee ...

New

SAIC

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 ...

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All JobsAi Solutions Engineer Jobs

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 3, 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:
Ai Solutions Engineer jobs near you
Infographic showing various Ai Solutions Engineer job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $123,284 per year, or $59.3 per hour.
AI Solutions Engineer

AI Solutions Engineer

Inland Imaging

Spokane, WA • On-site

$89K - $133K/yr

Full-time

Posted 3 days ago

Inland Imaging rating

9.7

Company rating: 9.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Base Pay Range:
$89,137.79 - $133,706.68
Job Description:
The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours hybrid at the Inland Imaging Business Center downtown Spokane.
Summary: The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our Senior AI Solutions Engineer, this role will contribute hands-on coding, AI integration, and workflow automation efforts-helping the organization streamline internal processes and boost productivity and quality.
General Description: The AI Solutions Engineer must be able to work effectively and efficiently in a fast-paced office environment in meeting continual deadlines. The AI Solutions Engineer must be able to handle multiple priorities with constant interruptions. Organization is essential in order to meet deadlines. A sense of urgency, the ability to make good decisions, and the prioritization of tasks is necessary.
Essential Duties / Responsibilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Builds and delivers AI agents and automation workflows tailored for medical imaging, business operations, and healthcare analytics, with limited supervision from the Senior AI Solutions Engineer.
  • Designs and develops integrations using REST API endpoints and third-party services.
  • Develops and refines generative AI models (e.g., large language models, diffusion models) and integrates emerging AI APIs (Anthropic Claude, OpenAI GPT4, Google Gemini).
  • Deploys models within production environments across cloud-native and edge platforms, applying established patterns and contributing to design decisions.
  • Integrates AI-driven solutions with EMR/EHR systems, PACS, clinical workflows, and modern data infrastructure.
  • Participates in technical consulting activities, communicating AI capabilities to clinical and operational stakeholders.
  • Integrates AI tools into existing business systems and processes.
  • Collaborates directly with process owners to understand task logic and data flows, translating requirements into working solutions.
  • Ensures security, data privacy, and human-in-the-loop review where needed.
  • Maintains and documents AI systems to support stability and reproducibility.
  • Applies clean coding standards and DevOps best practices.
  • Provides guidance and informal mentoring to the Junior AI Solutions Engineer, assisting with onboarding, code review, and knowledge transfer.
  • Other special projects and duties as assigned.

General Duties/Responsibilities:
  • Ability to maintain strict confidentiality within the Inland Imaging companies and Inland's customers.
  • Honest, pleasant manner and good personal hygiene.
  • Free of alcohol and drug abuse.
  • Ability to access multiple worksites in a timely manner.
  • Excellent communication and interpersonal skills.
  • Detail oriented; ability to multi-task; organized and able to work in a fast-paced environment.
  • Demonstrates self-directed learning and participation in continuing education through professional journals, approved seminars, etc.
  • Adheres to departmental standards and personnel policies by demonstrating professional demeanor in conduct and appearance.
  • Follows company departmental standards and personnel policies by using good teamwork and communication skills to help identify concerns and solutions, assisting where needed to ensure a smooth functioning department.
  • Follows all Health and Safety policies and guidelines of Inland Imaging and its partners depending on work location
  • Performs other duties as required by displaying team spirit and self-growth, accepting and performing other projects and responsibilities, and requesting other projects and responsibilities.
  • Attendance is required for this position.
  • Rotates to other shifts and locations as needed.

Supervisory Responsibilities:
  • There is no responsibility in this position

Advocacy:
Treats all clients with dignity and respect Provides excellent customer service Conforms to Joint Commission and HIPAA regulations Complies with PHI (Protected Health Information) Demonstrates the Inland Imaging Core Values:
  • Show We Care, Do The Right Thing, Maximize Individual Potential, Challenge Convention

Qualifications:
  • Education: Bachelor's degree in software engineering, AI, Data Science or equivalent experience.
  • Experience:
    • Four or more years of related experience required, including 3+ years Software Engineering or AI/MI development.
    • Demonstrated experience developing and deploying generative AI solutions using API's such as OpenAI, Anthropic or similar platforms.
    • Hands-on experience with CI/CD pipeline tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI).
    • Strong programming skills (Python required; JS, R or similar a plus).
    • Excellent communication skills; able to explain technical concepts to clinical and operational teams.
    • Willingness to travel ~10% to client sites and conferences.
    • Ability to work in a high energy, team environment.
  • Licensure: Valid driver's license and vehicle insurance, or the ability to access multiple worksites in a timely manner.
  • Computer Skills: Outlook; Microsoft Office Suite, Advanced Excel, Word and PowerPoint, Workday, Webex; Smartsheet, etc.
  • Drug Test: Eligible employees must be able to pass a post-offer, pre-employment drug test.

Nuvodia/Inland is an EEO employer...

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