Artificial Intelligence Specialist

Actalent
Overland Park, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 145K

Job location

Overland Park, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Google BigQuery
Cloud Computing
Cloud Database
Cloud Engineering
Custom Software
Data Integration
Data Warehousing
Python
OpenID
SQL Databases
Enterprise Data Management
Google Cloud Platform
Enterprise Software Applications
Application Enhancement Tool
Microsoft Power Automate
Sql Optimization
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Containerization
Data Management
GPT
Data Pipelines
Automation Anywhere
Workday

Job description

  1. 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.

  1. 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.

  1. 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.

  1. 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 BigQuery, dbt, and CI/CD pipelines within a monorepo architecture.

Requirements

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., + 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, BigQuery).

  • Experience building internal tools with enterprise authentication (e.g., Entra ID / 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.

About the company

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

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