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Ai Solutions Engineer Jobs in Kansas (NOW HIRING)

AI Solutions Manager Reports to: Chief Information Officer Starting at $135,000.00 annually. A ... Experience with business process re-engineering, Lean, Six Sigma, continuous improvement, service ...

Pre-Sales Solution Engineer

Mission, KS · On-site

$120 - $170/hr

As AI-driven applications demand more robust, scalable, and high-quality data pipelines ... Excellent problem‑solving skills and a creative approach to architecting solutions. * Experience ...

New

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

You will architect and deliver applied AI solutions powered by Large Language Models (LLMs) and ... Set engineering standards for quality, reliability, and maintainability. AI Solution Design ...

This is the engineering role for someone who sees the current AI moment not as hype but as infrastructure, and who has the skills and instinct to build on top of it before the rest of the world ...

AI Enterprise Architect

Kansas City, KS · On-site

$66.50 - $85.75/hr

... solution architecture or engineering * 7+ years in AI/ML environments * Experience with cloud ... platforms and enterprise systems integration * Experience delivering production AI solutions

AI Enterprise Architect

Kansas City, KS · On-site

$66.50 - $85.75/hr

... solution architecture or engineering * 7+ years in AI/ML environments * Experience with cloud ... platforms and enterprise systems integration * Experience delivering production AI solutions

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Ai Solutions Engineer information

See Kansas salary details

$39.7K

$110K

$161.9K

How much do ai solutions engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai solutions engineer in Kansas is $109,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $125,300.00 per year, depending on experience, location, and employer.

What is an AI Solutions Engineer?

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.

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 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.

What are popular job titles related to Ai Solutions Engineer jobs in Kansas?

For Ai Solutions Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Engineer jobs in Kansas look for?

The top searched job categories for Ai Solutions Engineer jobs in Kansas are:

What cities in Kansas are hiring for Ai Solutions Engineer jobs?

Cities in Kansas with the most Ai Solutions Engineer job openings:

Infographic showing various Ai Solutions Engineer job openings in Kansas as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $109,950 per year, or $52.9 per hour.

$135K/yr

Full-time

Re-posted 11 days ago


Job description

AI Solutions Manager

Reports to: Chief Information Officer

Starting at $135,000.00 annually.
A higher starting salary may be offered based on qualifications and experience.

Primary Job Responsibilities:

The primary job functions are: Operational AI strategy and opportunity identification, business process analysis and solution design, project management and implementation coordination, AI tool evaluation and responsible use, training, and change management.

  • Lead the identification, planning, and provide project management for the implementation of AI-enabled solutions across the college.

  • Partner with campus leaders to improve business processes through AI, automation, and workflow redesign.

  • Manage AI projects from discovery through implementation, adoption, and continuous improvement.

  • Facilitate cross-functional collaboration among IT, academic, and administrative departments.

  • Evaluate emerging AI technologies and recommend solutions that align with institutional priorities.

  • Promote responsible AI practices, including data privacy, security, accessibility, and human oversight.

  • Develop training, resources, and change management strategies to support successful adoption.

  • Chair the college's AI Subcommittee and help shape institutional AI governance and priorities.

Required Qualifications:

  • Bachelor's degree in information systems, business administration, project management, instructional technology, operations management, data analytics, or a related field.

  • Three or more years of experience in business analysis, project management, process improvement, technology implementation, digital transformation, or related work.

  • Working knowledge of generative AI tools, AI-enabled business applications, automation platforms, and practical AI use cases in organizational settings.

  • Demonstrated ability to facilitate meetings, gather requirements, document business processes, and translate user needs into practical solution designs.

  • Strong verbal, written, and interpersonal communication skills, including the ability to work effectively with technical and non-technical audiences.

  • Demonstrated project management skills, including scoping, planning, coordinating stakeholders, tracking deliverables, managing risks, and supporting successful implementation.

  • Sound judgment regarding data privacy, information security, ethical AI use, accessibility, and appropriate human oversight.

  • Ability to learn new technologies quickly and evaluate tools based on institutional need, risk, usability, cost, and sustainability.

Preferred Qualifications:

  • Experience working in higher education, student services, enrollment, financial aid, advising, finance, human resources, facilities, compliance, or other college operational areas.

  • Experience with business process re-engineering, Lean, Six Sigma, continuous improvement, service design, or organizational change management.

  • Experience implementing AI, automation, CRM, ERP, workflow, chatbot, knowledge management, reporting, analytics, or productivity tools.

  • Project management certification or training, such as PMP, CAPM, Agile, Scrum, Lean Six Sigma, Prosci, or similar.

  • Familiarity with FERPA, data governance, accessibility, cybersecurity, responsible AI practices, and higher education compliance expectations.

Requirements for Employment Eligibility:

  • Membership in The Church of Jesus Christ of Latter-day Saints.

  • Worthiness to hold and be worthy to hold a current temple recommend.

  • Receive clearance from the Church Educational System Ecclesiastical Clearance Office.

  • Strict adherence to company policies and procedures.

  • Commitment to bring about the purposes of Ensign College.

  • Reside in Utah and able to work in person at our downtown Salt Lake City campus.

Ensign College is an equal opportunity employer and does not unlawfully discriminate in its hiring or employment practices on the basis of race, color, national or ethnic origin, sex (including pregnancy), age, disability, genetic information, or veteran's status. As an educational institution owned and operated by The Church of Jesus Christ of Latter-day Saints, Ensign College gives lawful hiring preference to qualified, faithful members of the Church who are in good standing.