Artificial Intelligence Engineer
MCL Construction, La Vista, NE, United States
Artificial Intelligence Engineer
Omaha, NE (Onsite) | Full-Time, Exempt
Build the systems. Shape the future. Drive how decisions get made.
At MCL Construction, we’re not experimenting with AI, we’re building it into how we operate, compete, and grow.
We’re looking for an Artificial Intelligence Engineer who doesn’t just understand AI but knows how to apply it where it matters. This is a high-impact role where you’ll design, build, and deploy intelligent systems that influence real decisions across the business from the jobsite to the boardroom.
If you’re someone who wants to own the strategy, build the tools, and see your work used in real time, this is your arena.
What You’ll Own
AI Strategy & Implementation
Build and evolve MCL’s AI roadmap, aligning tools and capabilities with real business outcomes
Design, develop, and deploy end-to-end AI/ML solutions across departments
Identify high-impact use cases, pilot solutions, measure results, and scale what works
Translate business challenges into practical, scalable AI applications
AI Systems & Tools
Develop AI agents and tools using platforms like Azure AI Foundry, Copilot, ChatGPT, or similar
Integrate AI into enterprise systems (Teams, SharePoint, internal platforms)
Build and refine Retrieval-Augmented Generation (RAG) workflows, embeddings, and vector databases
Create lightweight tools and applications that improve decision‑making speed and accuracy
Data & Decision Support
Partner with Data and IT teams to connect pipelines, APIs, and data sources
Develop forecasting models and intelligent systems that support planning and operations
Monitor performance, track KPIs, and continuously improve model accuracy and adoption
Ensure reliability, scalability, and long‑term performance of AI solutions
Cross-Functional Impact
Work directly with field, operations, finance, and leadership teams to understand workflows
Identify inefficiencies and introduce AI‑driven improvements
Train users, drive adoption, and gather feedback to refine solutions
Serve as the bridge between technical capability and real‑world application
Leadership & Influence
Mentor interns and support internal AI capability building
Lead internal training and elevate AI literacy across the company
Stay ahead of emerging AI trends and bring new ideas back to the business
What It Takes
Technical Foundation
Degree in Computer Science, Engineering, or related field
Strong programming experience (Python, R, JavaScript, etc.)
Experience with AI/ML frameworks and model development
Hands‑on work with LLMs, RAG, embeddings, and agent‑based workflows
Familiarity with tools like Azure AI, OpenAI, Copilot, Semantic Kernel, or similar
Experience integrating APIs, data connectors, and enterprise systems
What Sets You Apart
You don’t just build models, you solve problems
You think in systems, not silos
You can move from concept ? prototype ? production without getting stuck
You’re comfortable working with both technical teams and business leaders
You’re curious about how construction actually works and how to make it better
Why MCL
Real Impact: Your work won’t sit on a shelf, you’ll see it used across the company
Ownership: You’ll help define how AI shows up here, not just execute someone else’s roadmap
Growth: We’re expanding, evolving, and investing in smarter ways to build
Culture: Passionate. Thorough. Dedicated. Respectful. No shortcuts, no excuses
The Bottom Line
This isn’t a “keep the lights on” AI role.
This is for someone who wants to step in, take ownership, and build something meaningful from the ground up with the support, visibility, and trust to do it right.
If you’re ready to move beyond theory and put AI to work where it actually matters, we should talk.
#J-18808-Ljbffr
Omaha, NE (Onsite) | Full-Time, Exempt
Build the systems. Shape the future. Drive how decisions get made.
At MCL Construction, we’re not experimenting with AI, we’re building it into how we operate, compete, and grow.
We’re looking for an Artificial Intelligence Engineer who doesn’t just understand AI but knows how to apply it where it matters. This is a high-impact role where you’ll design, build, and deploy intelligent systems that influence real decisions across the business from the jobsite to the boardroom.
If you’re someone who wants to own the strategy, build the tools, and see your work used in real time, this is your arena.
What You’ll Own
AI Strategy & Implementation
Build and evolve MCL’s AI roadmap, aligning tools and capabilities with real business outcomes
Design, develop, and deploy end-to-end AI/ML solutions across departments
Identify high-impact use cases, pilot solutions, measure results, and scale what works
Translate business challenges into practical, scalable AI applications
AI Systems & Tools
Develop AI agents and tools using platforms like Azure AI Foundry, Copilot, ChatGPT, or similar
Integrate AI into enterprise systems (Teams, SharePoint, internal platforms)
Build and refine Retrieval-Augmented Generation (RAG) workflows, embeddings, and vector databases
Create lightweight tools and applications that improve decision‑making speed and accuracy
Data & Decision Support
Partner with Data and IT teams to connect pipelines, APIs, and data sources
Develop forecasting models and intelligent systems that support planning and operations
Monitor performance, track KPIs, and continuously improve model accuracy and adoption
Ensure reliability, scalability, and long‑term performance of AI solutions
Cross-Functional Impact
Work directly with field, operations, finance, and leadership teams to understand workflows
Identify inefficiencies and introduce AI‑driven improvements
Train users, drive adoption, and gather feedback to refine solutions
Serve as the bridge between technical capability and real‑world application
Leadership & Influence
Mentor interns and support internal AI capability building
Lead internal training and elevate AI literacy across the company
Stay ahead of emerging AI trends and bring new ideas back to the business
What It Takes
Technical Foundation
Degree in Computer Science, Engineering, or related field
Strong programming experience (Python, R, JavaScript, etc.)
Experience with AI/ML frameworks and model development
Hands‑on work with LLMs, RAG, embeddings, and agent‑based workflows
Familiarity with tools like Azure AI, OpenAI, Copilot, Semantic Kernel, or similar
Experience integrating APIs, data connectors, and enterprise systems
What Sets You Apart
You don’t just build models, you solve problems
You think in systems, not silos
You can move from concept ? prototype ? production without getting stuck
You’re comfortable working with both technical teams and business leaders
You’re curious about how construction actually works and how to make it better
Why MCL
Real Impact: Your work won’t sit on a shelf, you’ll see it used across the company
Ownership: You’ll help define how AI shows up here, not just execute someone else’s roadmap
Growth: We’re expanding, evolving, and investing in smarter ways to build
Culture: Passionate. Thorough. Dedicated. Respectful. No shortcuts, no excuses
The Bottom Line
This isn’t a “keep the lights on” AI role.
This is for someone who wants to step in, take ownership, and build something meaningful from the ground up with the support, visibility, and trust to do it right.
If you’re ready to move beyond theory and put AI to work where it actually matters, we should talk.
#J-18808-Ljbffr