AI Solutions Engineer Jobs Kentucky 2026

Galls, LLC, the largest and fastest growing supplier of uniforms and equipment to public safety professionals with a national presence in more than 80 locations and over 50 years of industry experience, is seeking an AI Solutions Engineer in Lexington, KY to design, build, and operate secure generative AI solutions with the business and a third-party AI contractor, develop LLM applications and retrieval-augmented generation (RAG) pipelines, manage Azure cloud infrastructure with Terraform, enforce AI security and compliance, and serve as the company’s AI trainer — educating employees across every department to use AI tools safely, effectively, and in line with company policy.

About Galls — Serving America’s Public Safety Professionals

Market Position: Largest and fastest growing supplier of uniforms and equipment to public safety professionals

National Footprint: Presence in more than 80 locations across the United States

Heritage: Over 50 years of experience serving police, fire, EMS, and security professionals

Promise: Broadest selection of uniforms, equipment, and solutions combined with great customer service

Innovation Push: Investing in secure generative AI to improve productivity and business outcomes

Career Opportunity — Build and Teach AI at Scale

Dual Impact Role: Combine hands-on AI engineering with company-wide AI training and enablement

Modern Tech Stack: LLM APIs, RAG, Azure, Terraform, Kubernetes, and Azure Container Apps

Responsible AI: Shape how a national company uses AI safely, securely, and in line with policy

Strong Benefits: Medical, dental, vision, 401(k) with company contribution, DailyPay, and tuition reimbursement

Position Overview

This AI Solutions Engineer role involves working with the business and a third-party AI contractor to design, build, and operate secure generative AI solutions at Galls. You will build chat assistants, document processing tools, and RAG applications, create RAG pipelines covering ingestion, chunking, embeddings, vector search, and grounded model responses, evaluate model quality, accuracy, latency, cost, and ROI, manage infrastructure as code with Terraform, implement secure access with private endpoints, API Management, Microsoft Entra ID, and managed identities, and monitor AI workloads in production. Beyond engineering, you will act as Galls’ AI trainer, partnering with Learning and Development to deliver workshops, build prompt libraries and user guides, and teach employees what data may and may not be used with AI tools.

Why This Role Matters: As AI Solutions Engineer at Galls, you move generative AI from pilot to everyday practice at a national company serving public safety professionals, build secure LLM and RAG solutions on Azure using modern tooling such as Terraform, Kubernetes, and Microsoft Entra ID, shape company AI policy in action by teaching employees to use AI responsibly, work in a role that blends deep engineering with visible, high-impact enablement, and grow your career in one of the fastest-moving areas of technology with strong benefits including 401(k) with company contribution, flexible benefits, and tuition reimbursement.

 Key Responsibilities

Generative AI Solution Design & Development

• Design and build generative AI solutions including chat assistants, document processing, and RAG applications
• Build RAG pipelines using ingestion, chunking, embeddings, vector search, and grounded model responses
• Develop prompts and evaluate model quality, accuracy, latency, cost, and return on investment
• Write application and integration code in Python or Java and deploy containerized solutions

Cloud Infrastructure, Security & Compliance

• Manage infrastructure as code using Terraform, with Bicep or ARM experience as a plus
• Implement secure access with private endpoints, API Management, Microsoft Entra ID, and managed identities
• Ensure AI security, compliance, logging, and access controls following the principle of least privilege
• Apply and help evolve established Azure architecture standards in line with company policies

Monitoring & Operations

• Monitor AI workloads for usage, cost, latency, errors, and response quality
• Operate containerized workloads on Kubernetes or Azure Container Apps reliably in production
• Follow the change management process and the full software development lifecycle for every fix or feature
• Track operational trends and recommend improvements that reduce cost and improve performance

Collaboration, Documentation & Change Management

• Build proofs of concept and lead solution and vendor design reviews
• Maintain clear technical documentation for AI solutions, architecture, and operating procedures
• Work with the third-party AI contractor to deliver secure, well-governed solutions
• Partner with business leaders to identify high-value AI use cases

AI Training, Enablement & Adoption

• Serve as the company’s AI trainer, working with Learning and Development on sessions, workshops, and hands-on demos
• Develop training materials, user guides, prompt libraries, best-practice resources, and job aids for different roles
• Educate employees on responsible AI use, data privacy, security, and what data may be used with AI tools
• Provide ongoing support and office hours, gather feedback, and measure training participation, adoption, and satisfaction

Qualifications & Requirements

Educational Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent education and experience

Technical Experience

• Demonstrated experience building and deploying solutions with LLM APIs in a professional environment
• Hands-on experience designing RAG solutions, including embeddings, vector databases, and retrieval strategies
• Strong prompt engineering skills and experience evaluating LLM quality, accuracy, and performance
• Proficiency in Python or Java, including REST APIs and SDKs
• Hands-on experience with Azure, cloud networking, and Microsoft Entra ID
• Experience with Terraform, Git, and CI/CD pipelines
• Experience deploying and operating containerized workloads on Kubernetes or Azure Container Apps

Communication & Training Skills

• Strong collaboration and stakeholder management skills with the ability to work independently and drive results
• Ability to explain AI concepts clearly to non-technical audiences and deliver confident presentations and demos
• Experience developing or delivering technical training, workshops, or enablement programs

Preferred Qualifications

 About Galls — Proud to Serve Public Safety Professionals

GALLS, LLC is the largest and fastest growing supplier of uniforms and equipment to public safety professionals, with a national presence in more than 80 locations. With over 50 years in the industry, Galls proudly serves America’s public safety professionals by providing the broadest selection of uniforms, equipment, and solutions combined with great customer service. Now the company is investing in secure, responsible generative AI, and this role is central to that effort.

Application: Submit your resume highlighting your experience through the Galls careers channel. Galls is an EOE/Disability/Veterans employer.

Benefits & Perks

Health & Retirement

• Medical, Dental & Vision: Excellent coverage, eligible the 1st day of the month following your start date
• 401(k) Plan: Retirement plan with company contribution
• Flexible Benefits: Choose the benefits you like and ignore the rest

Pay, Time Off & Growth

• DailyPay: Receive up to 50% of your earned wages daily
• Vacation, Personal Time & Paid Holidays: Time to recharge and take care of life outside work
• Tuition Reimbursement: Support for continuing education and career development
• Employee Discount: Generous discount on Galls products

AI Engineering Career Market — USA 2026

Demand for engineers who can ship secure generative AI is strong across the United States, and employers increasingly want people who can also help colleagues adopt AI responsibly. Skills in LLM APIs, retrieval-augmented generation, Azure, infrastructure as code, and AI governance sit at the center of that demand, and a role that pairs engineering with enablement, like this one, offers unusual visibility inside a company.

• RAG Expertise: Grounded, enterprise-ready AI applications are a priority for most organizations
• Azure & Terraform: Cloud and infrastructure-as-code skills remain highly valued
• Responsible AI: Security, privacy, and policy knowledge increasingly separates strong candidates
• Agents & MCP: Experience with AI agents and tool integrations is a growing differentiator

Who Should Apply?

• LLM Application Engineers: With production experience building RAG and chat solutions on Azure
• Cloud & DevOps Engineers: With Terraform, Kubernetes, and Entra ID skills moving into applied AI
• Data Scientists: Who enjoy turning models into secure, supported business tools
• Technical Trainers: With engineering depth who love teaching AI to non-technical teams
• Python Developers: With REST API experience ready to specialize in generative AI
• AI Enablement Leaders: Passionate about responsible AI, data privacy, and employee adoption

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