AI Solutions Engineer (Enterprise AI & Data Integration)

Data Warehousing, Programming Tools Unstructured Data Publish Subscribe Microsoft Copilot Workday (Software) Workflow Management Amazon Web Services Cloud-Native Computing Business Communication Training Documentation Artificial Intelligence Construction Engineering SQL (Programming Language) Engineering Design Process Google Cloud Platform (GCP) Enterprise Resource Planning Python (Programming Language) Enterprise Application Software Application Programming Interface (API), 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.

2. 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.

3. 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.

4. 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.
• Apply AI both as a feature (classification, extraction, agents) and as a development accelerator., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Artificial Intelligence Specialist Actalent Kansas City, MOOn-Site CI/CD ChatGPT BigQuery Visionary AI Agents Claude AI Pipelines Operations Leadership Consulting Innovation Scalability Reliability AI Adoption Claude Code Authentications Microsoft Azure Problem Solving Data Integration Data Warehousing Programming Tools Unstructured Data Publish Subscribe Microsoft Copilot Workday (Software) Workflow Management Amazon Web Services Cloud-Native Computing Business Communication Training Documentation Artificial Intelligence Construction Engineering SQL (Programming Language) Engineering Design Process Google Cloud Platform (GCP) Enterprise Resource Planning Python (Programming Language) Enterprise Application Software Application Programming Interface (API) +0 Ai Architect Actalent Olathe, KSOn-Site ChatGPT Ideation App Data Dashboard Scripting Visionary Operations Leadership Automation Innovation Salesforce AWS Lambda RESTful API AI Adoption Coordinating Data Quality Data Analysis Microsoft 365 Release Notes Prioritization Reconciliation Microsoft Excel Prompt Patterns Computer Science Machine Learning Data Engineering Microsoft Outlook Docker (Software) Energy Management Windows PowerShell Release Management Business Valuation Quality Monitoring Business Analytics Information Systems Microsoft Dataverse Business Development Return On Investment Microsoft SharePoint Demonstration Skills Serverless Computing Sprint Retrospectives Artificial Intelligence Administrative Functions Stakeholder Requirements Microsoft Power Platform Engineering Design Process Software Quality (SQA/SQC) Verbal Communication Skills Python (Programming Language) Retrieval Augmented Generation Artificial Intelligence Strategy JavaScript (Programming Language) +0

ChatGPT BigQuery Visionary AI Agents Claude AI Pipelines Operations Leadership Consulting Innovation Scalability Reliability AI Adoption Claude Code Authentications Microsoft Azure Problem Solving, 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., * 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.

• 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

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.