Remote AI & Technical Upskilling Architect

Maximus

Salt Lake City (UT)

Remote

USD 73,000 - 95,000

Full time

13 days ago
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Job summary

Maximus is seeking a Sr. Specialist in AI & Technical Upskilling (remote) to design, coordinate, and continuously improve scalable learning solutions that build practical AI and technical skills for employees.

The role partners with stakeholders across HR, technology, and vendors to translate skill needs into learning pathways, assets, and measurable outcomes, while applying adult learning principles and responsible AI practices.

Qualifications

  • Bachelor's Degree and 5+ years of experience required.
  • Five (5) or more years of experience in Learning & Development and Learning Management Systems administration (preferable CSOD).
  • Three (3) or more years of experience supporting a global/complex instance of the Learning Management System Cornerstone OnDemand (CSOD).
  • Experience working on complex issues requiring in-depth knowledge of the company.
  • Ability to regularly interact with senior leaders and executives.
  • Demonstrated ability to think strategically and translate business performance gaps into learning and development strategies.
  • Five (5) or more years of experience in Corporate Learning & Development, instructional design, curriculum development, or a combination of these areas.
  • Experience designing technical training and supporting certification strategy for technical audiences.
  • Foundational understanding of AI concepts, LLMs, prompt engineering, and responsible AI practices, with the ability to translate these into learning content.
  • Experience designing, drafting, and developing storyboards for learning solutions, including eLearning, instructor-led training, virtual learning, and blended formats.
  • Demonstrated ability to identify learning needs and translate them into practical learning solutions.
  • Experience navigating complex organizational environments and partnering with stakeholders across functions.

Responsibilities

  • Execute the development and implementation of learning assets through collaboration with the Training Operations Team.
  • Use training technology to provide scalable training solutions.
  • Help to develop and support the implementation of the LMS learning strategy and measurement of that strategy for the organization.
  • Support LMS system audits.
  • Create and document processes for learning solutions, architecture decisions and operating procedures.
  • Work in partnership with the HRIS team to support LMS system updates.
  • Work with vendor to secure and onboard new learning technologies for delivering, tracking, and/or creating learning content.
  • Consult and collaborate with leaders at all levels as well as cross-functional stakeholders to provide learning solutions using the LMS functionalities.
  • Define support LMS system roles and permissions.
  • Support and advise on overall system configuration and availability groups.
  • Support and train Global system Super Users and Admin.
  • Design & Development: Support the design, development, and continuous improvement of enterprise AI and technical upskilling programs...
  • Design and draft instructionally sound storyboards that translate complex AI and technical topics into eLearning, instructor-led, virtual, and blended learning formats.
  • Develop and maintain learning pathways, job aids, facilitator guides, learner communications, discussion guides, practice activities, and reinforcement resources.
  • Create practical learning scenarios that help employees recognize appropriate AI use cases, evaluate risks, improve prompts, validate outputs, and decide where human judgment is required.
  • Apply adult learning principles, accessibility practices, and plain-language standards to make learning approachable, usable, and inclusive.
  • AI & Learning Technology: Translate AI, automation, data, and technical concepts into clear, practical learning content employees can apply in real work scenarios.
  • Contribute to responsible AI learning by ensuring content reinforces approved tools, data handling expectations, human oversight, privacy considerations, and organizational guidance.
  • Stakeholder Partnership & Change: Partner with subject matter experts, business stakeholders, HR partners, change leads, and technology teams to identify skill needs, define learning objectives, and shape learning experiences that align to business priorities.
  • Support external technical certification pathways and vendor-delivered learning offerings by helping assess fit, coordinate implementation, and monitor learner progress.
  • Coordinate program logistics, content updates, facilitator preparation, vendor collaboration, communications, learner support, and delivery readiness across virtual, in-person, and blended formats.
  • Maintain AI and technical learning materials as tools, models, policies, and workforce needs evolve.
  • Measurement & Continuous Improvement: Support skills gap analysis and needs assessment work by gathering stakeholder input, reviewing learning data, and translating findings into recommended learning priorities.
  • Use LMS data, survey feedback, assessments, and other learning analytics to evaluate participation, learner experience, behavior change, and program improvement opportunities.
  • Recommend process improvements that make AI and technical upskilling programs more scalable, measurable, and easier for employees and leaders to adopt.
  • Adhere to established safety standards and perform other duties as assigned.

Education

Bachelor's Degree

Tools

CSOD (Cornerstone OnDemand)
LMS administration
Canva
Microsoft 365
SharePoint
Teams

Job description

Maximus is seeking a Sr. Specialist in AI & Technical Upskilling (remote) to design, coordinate, and continuously improve scalable learning solutions that build practical AI and technical skills for employees.

The role partners with stakeholders across HR, technology, and vendors to translate skill needs into learning pathways, assets, and measurable outcomes, while applying adult learning principles and responsible AI practices.

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