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Artificial Intelligence Specialist

Job in Olathe, Johnson County, Kansas, 66061, USA
Listing for: Actalent
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Engineering
Job Description & How to Apply Below

Artificial Intelligence Specialist

This role leads the exploration, design, and implementation of artificial intelligence and automation solutions that enhance productivity and support strategic business initiatives across the organization. You will define and drive the AI pilot roadmap, build production-grade automations, and administer Power Platform solutions that serve multiple departments. The position combines hands-on technical work with stakeholder engagement, training, and governance to ensure AI and automation tools are effective, secure, and adopted successfully.

Responsibilities
  • Define and lead the AI pilot roadmap, partnering with leaders across Administration, Engineering, IT, Energy Management, and other business functions to identify, prioritize, and deliver high-value use cases.
  • Own the internal AI playbook and AI usage guidelines, establishing standards for approved tools, prompt patterns, guardrails, data handling, and proven workflows.
  • Document pilots, retrospectives, and recommendations to support broader rollout of successful AI and automation initiatives.
  • Lead AI and automation training sessions, demonstrations, and recurring office hours across the company, serving as a technical reference for power users and a constructive partner for more skeptical or experienced staff.
  • Evaluate emerging AI tools, vendors, and platforms, and recommend build-versus-buy decisions while presenting outcomes, return on investment, and risks to leadership.
  • Establish and maintain standards for automation and Power Platform solutions, including code quality, testing, documentation, release coordination, and post-deployment monitoring to ensure long-term maintainability and reliable handoffs.
  • Architect and deliver production-grade automations using Python (including Docker-based deployments), AWS Lambda or similar serverless platforms, Microsoft 365, and supporting scripts in Power Shell, JavaScript, or SQL.
  • Own code quality, monitoring, documentation, and handoff standards for all automation and internal tooling solutions.
  • Identify high-impact automation opportunities across departments and lead discovery, scoping, and end-to-end delivery with limited oversight.
  • Provide technical guidance on selected IT and Microsoft 365 administrative tasks, partnering with IT on security, identity, and integration considerations.
  • Co-administer Power Apps used by Business Development, Construction, and Engineering Operations in collaboration with the Data Analytics Engineer and a third-party development partner.
  • Lead enhancement design discussions and backlog prioritization for Power Apps, ensuring that changes align with business needs and technical standards.
  • Own permissions, roles, data quality, and day-to-day administration across Dataverse and related environments.
  • Lead testing cycles, release coordination, and post-release validation for Power Platform solutions.
  • Lead Salesforce-to-Power App data migration validation, reconciliation, and cutover support to ensure accurate and reliable data transitions.
  • Build and maintain Power App dashboards for pipeline, operations, and leadership reporting, ensuring they are accurate, usable, and aligned with business metrics.
  • Produce user guides, release notes, and training materials at a quality level suitable for company-wide distribution.
  • Communicate clearly with nontechnical stakeholders to translate requirements into working solutions and to set realistic expectations around scope and timelines.
  • Constructively challenge and refine requirements or scope to ensure feasible, maintainable, and high-value solutions.
Essential Skills
  • At least 5 years of relevant experience in business applications, automation, data engineering, AI/ML enablement, or a closely related field.
  • Production experience in at least two of the following:
    Python, AWS Lambda or comparable serverless platforms, REST API integrations, SQL.
  • Proven record of leading at least one AI or automation initiative from ideation through user adoption with measurable outcomes.
  • Strong Microsoft 365 fluency, including Excel, SharePoint, Teams, and Outlook, with the ability to build solutions that integrate across these tools.
  • Ability…
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