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Learning Solutions Analyst Jobs (NOW HIRING)

The Solutions Analyst II will ensure the development of healthy working relationships with ... Demonstrates knowledge and skill with software and promotes continued learning * Actively promotes ...

Learning Strategy & Solution Development * Conduct needs analysis to identify business challenges, capability needs, desired outcomes, and success measures. * Recommend evidence-informed learning and ...

The Blueprint (Role Profile) The Kinaxis Solutions Analyst supports the administration, enhancement ... Supply chain planning experience is required; experience with AI, machine learning, or production ...

... Solutions Analyst will support the operation and oversight of our delegated authority portfolio ... Let's care for your opportunities to progress From career development and digital learning programs ...

The Blueprint (Role Profile) The Kinaxis Solutions Analyst supports the administration, enhancement ... Supply chain planning experience is required; experience with AI, machine learning, or production ...

The Blueprint (Role Profile) The Kinaxis Solutions Analyst supports the administration, enhancement ... Supply chain planning experience is required; experience with AI, machine learning, or production ...

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Learning Solutions Analyst information

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$36K

$104.9K

$184K

How much do learning solutions analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for learning solutions analyst in the United States is $104,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Learning Solutions Analyst jobs?

For Learning Solutions Analyst jobs, the most frequently searched job titles are:

Infographic showing various Learning Solutions Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $104,929 per year, or $50.4 per hour.

Artificial Intelligence Machine Learning Solutions Engineer 1

Dale City, VA โ€ข On-site

INSPYR Solutions
Internet and ITย โ€ขย 51 - 200 employees

$100K - $110K/yr

Other

Medical, Retirement

Posted 8 days ago


Job description

Title: Artificial Intelligence Machine Learning Solutions Engineer 1
Location: Charlotte, NC
Duration: Direct Hire
Compensation: $100K-$110K
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
 
Position Background
 
  • The AI / ML Solutions Engineer I is responsible for designing, building, and supporting advanced AI, machine learning, automation, and intelligent analytical solutions that address complex business needs. This role develops technical capabilities that extend beyond standard data product delivery and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.
 
Duties & Responsibilities
  • Design, build, and implement AI, machine learning, automation, and advanced analytical solutions that address complex business needs
  • Evaluate technical feasibility, define solution approaches, and develop prototypes or production-ready components for innovation-led use cases
  • Prepare, test, and validate data, models, logic, and solution components to ensure quality, reliability, and business usefulness
  • Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals and operational needs
  • Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability and ongoing value realization
  • Other duties as assigned
 
Knowledge, Skills, & Abilities
  • Strong experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
  • Proficiency in Python, SQL, and other technical tools used for data science, automation, and model development
  • Experience designing and implementing predictive, classification, recommendation, optimization, or LLM-based solutions
  • Ability to evaluate technical feasibility and translate business problems into scalable technical approaches
  • Understanding of data preparation, feature engineering, model testing, validation, and solution monitoring
  • Experience integrating advanced solutions into business processes, applications, or reporting environments
  • Strong communication skills and ability to collaborate with business partners, Data Solutions Leads, and other technical resources
  • Ability to work through ambiguity and build practical, production-minded solutions
 
Minimum Qualifications
  • Bachelor's degree (4 years)
  • 5 to up to 7 years
Preferred Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred
     
 
 
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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