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Artificial Intelligence Specialist

Job in Kansas City, Jackson County, Missouri, 64101, USA
Listing for: Actalent
Full Time position
Listed on 2026-06-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 110000 - 145000 USD Yearly USD 110000.00 145000.00 YEAR
Job Description & How to Apply Below

AI Solutions Engineer (Enterprise AI & Data Integration) Overview

We are seeking a highly capable AI Solutions Engineer to drive the adoption, integration, and development of AI-powered tools across a large enterprise environment.

This role blends hands‑on engineering, data integration, product evaluation, and internal consulting. You will operate at the intersection of AI, data, and business operations—building solutions that make work more efficient, scalable, and impactful.

This is a highly autonomous role requiring both technical depth and strong business communication skills.

Key Responsibilities
  • Optimize and Scale AI Tool Usage
    • Maximize adoption and effectiveness of existing enterprise AI tools (e.g., Microsoft Copilot, Claude, ChatGPT).
    • Design and deploy AI agents, workflows, and prompt frameworks with proper guardrails.
    • Enable adoption across ~3,000 professional users through training, documentation, and practical solutions.
    • Identify high‑impact use cases and translate them into scalable AI‑enabled workflows.
  • Integrate AI with Enterprise Data
    • Connect AI tools to structured and unstructured data sources, including enterprise data warehouses, ERP systems, and cloud‑based document platforms.
    • Build retrieval pipelines (RAG), APIs, and connectors that allow non‑technical users to access data through AI‑powered interfaces.
    • Ensure data accessibility, reliability, and security within AI‑driven solutions.
  • Evaluate and Implement AI Technologies (Build vs. Buy)
    • Assess commercial AI products and vendors against business requirements.
    • Conduct build‑vs‑buy analyses and make recommendations based on ROI, scalability, and maintainability.
    • Lead implementation of selected solutions across business units.
    • Act as a trusted technical advisor in cross‑functional and operational discussions.
  • Develop Custom Applications and Automation
    • Build and maintain custom AI‑enabled applications where off‑the‑shelf solutions are insufficient.
    • Develop production‑grade systems using Python, SQL, and cloud‑native technologies.
    • Work within a modern cloud stack (e.g., Google Cloud Platform, including Cloud Run, Cloud SQL, Pub/Sub, Cloud Scheduler, Secret Manager).
    • Leverage Big Query, dbt, and CI/CD pipelines within a monorepo architecture.
    • Apply AI both as a feature (classification, extraction, agents) and as a development accelerator.
  • Required Qualifications
    • Proven experience building, deploying, and maintaining production applications (Python and SQL required).
    • Strong cloud experience (GCP preferred; AWS or Azure acceptable with willingness to adapt).
    • Hands‑on experience with:
    • LLM APIs and prompt engineering
    • Retrieval‑Augmented Generation (RAG)
    • Agent frameworks and AI workflows
    • AI‑assisted development tools (e.g., Copilot, Claude Code)
    • Strong data expertise:
    • Advanced SQL skills
    • Experience with data warehouses and ELT pipelines
    • Ability to work with complex, real‑world datasets
    • Ability to translate between technical and business stakeholders.
    • Strong problem‑solving skills with the ability to independently scope and deliver solutions.
    • Sound judgment in evaluating when to build versus purchase solutions.
    Preferred Qualifications
    • Experience in construction, engineering, or operations‑heavy industries.
    • Familiarity with enterprise systems such as ERP (e.g., Viewpoint Vista) and HCM platforms (e.g., Workday).
    • Experience with modern data stack tools (e.g., dbt, Big Query).
    • Experience building internal tools with enterprise authentication (e.g., Entra  / OIDC).
    • Demonstrated ability to drive adoption of new technologies among non‑technical users.
    Work Environment
    • Full‑time, in‑office role (standard business hours).
    • Collaborative, fast‑paced environment focused on innovation and operational improvement.
    Why Join
    • Opportunity to lead AI adoption at scale within a large enterprise environment.
    • Build impactful solutions that directly improve safety, efficiency, and decision‑making.
    • High ownership role with visibility across multiple business functions.
    Job Type & Location

    This is a Permanent position based out of Kansas City, MO.

    Pay and Benefits

    The pay range for this position is $110000.00 - $145000.00/yr.

    Health, Vision, Dental, ESOP

    Workplace Type

    This is a fully onsite position in…

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