What are the responsibilities and job description for the AI Solutions Engineer position at Galls?
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, it is easy to see why. We are PROUD to serve America’s public safety professionals by providing the broadest selection of uniforms, equipment, and solutions combined with great customer service.
Job Summary
We are looking for an AI Solutions Engineer to work with the business and a third-party AI contractor to design, build, and operate secure generative AI solutions. This role will work with large language model (LLM) applications, retrieval-augmented generation (RAG), and the cloud infrastructure that supports them.
In addition to technical delivery, this role serves as Galls' AI trainer, educating and enabling employees across the company to use AI tools safely, effectively, and in line with company policy.
What You'll Do
Generative AI Solution Design & Development
Required Qualifications
Job Summary
We are looking for an AI Solutions Engineer to work with the business and a third-party AI contractor to design, build, and operate secure generative AI solutions. This role will work with large language model (LLM) applications, retrieval-augmented generation (RAG), and the cloud infrastructure that supports them.
In addition to technical delivery, this role serves as Galls' AI trainer, educating and enabling employees across the company to use AI tools safely, effectively, and in line with company policy.
What You'll Do
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 ROI.
- Build application and integration code in Python or Java and deploy containerized solutions.
- Manage infrastructure as code using Terraform; Bicep or ARM experience is 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 (PoLP).
- Monitor AI workloads for usage, cost, latency, errors, and response quality.
- Build proofs of concept, lead solution and vendor design reviews, and maintain technical documentation.
- Apply and help evolve established Azure architecture standards, in line with company policies.
- Follow the change management process. When a fix or new feature is introduced to an AI solution or application, ensure the software development lifecycle is followed throughout.
- Serve as the company's AI trainer working closely with the Learning and Development team to design and deliver training sessions, workshops, and hands-on demonstrations that teach employees how to use approved AI tools effectively and responsibly.
- Develop and maintain training materials, user guides, prompt libraries, best-practice resources, and job aids tailored to the needs of different departments and roles.
- Educate employees on responsible AI use, data privacy, security, and company AI policies, including what data may and may not be used with AI tools.
- Partner with business leaders to identify AI use cases and training needs, and help teams apply AI to improve productivity and business outcomes.
- Provide ongoing support, office hours, and guidance to employees, and gather feedback to continuously improve training content and AI solutions.
- Measure and report on training participation, AI tool adoption, and user satisfaction.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent education and 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 experience with REST APIs and SDKs.
- Hands-on experience with Azure, cloud networking, and Microsoft Entra ID.
- Experience with infrastructure as code (Terraform), Git, and CI/CD pipelines.
- Experience deploying and operating containerized workloads on Kubernetes or Azure Container Apps.
- Strong collaboration and stakeholder management skills, with the ability to work independently, influence outcomes, and drive results.
- Ability to explain AI concepts clearly to non-technical audiences and to confidently deliver presentations and demonstrations.
- Experience developing or delivering technical training, workshops, or enablement programs for employees or customers.
- Experience with Semantic Kernel, LangChain, or LlamaIndex.
- Python as a primary development language.
- Experience with Bicep or ARM templates, in addition to Terraform.
- Experience building AI agents, tool calling, or Model Context Protocol (MCP) integrations.
- Working knowledge of Azure Well-Architected Framework and Cloud Adoption Framework.
- Working knowledge of responsible AI and security in regulated industries.
- Experience with AI coding assistants.
- Experience with Agile or Scrum delivery.
- Excellent medical, dental, and vision coverage – Eligible the 1st day of the month following your start date
- 401(k) retirement plan with company contribution (because you will retire someday)
- Flexible benefits – Choose what you like, ignore the rest
- Generous employee discount
- Vacation and Personal Time
- Paid Holidays
- Tuition Reimbursement
- DailyPay – Receive up to 50% of your earned wages daily
- Your resume highlighting your experience