AI Solutions Engineer at Bridgehead IT, LLC

San Antonio, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Oct, 26

Salary

0.0

Posted On

15 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Prompt Engineering, LLM Platforms, Azure Services, Business Analysis, Requirements Gathering, Systems Integration, Process Mapping, User Acceptance Testing, Technical Documentation, Python, SQL, Power BI, API Integration, Stakeholder Interviewing, Project Ownership

Industry

IT Services and IT Consulting

Description

Description Position Summary The AI Solutions Engineer will play a crucial role in delivering AI-powered automation solutions for our Clients and internal operations. The AI Solutions Engineer will be responsible for designing, building, and maintaining AI applications, whether starting new projects from the ground up or carrying in-progress builds through development, testing, and production release, then supporting ongoing refinements following go-live. This is a true hybrid role. The right candidate configures and integrates AI tools and LLM platforms, and is equally comfortable interviewing stakeholders, documenting workflows, and translating business needs into technical specifications. In this role, the ability to learn quickly, take ownership, attention to detail, and pride in your work are crucial to our and your continued success. Duties/Responsibilities AI Development: Design, build, and maintain AI-powered applications and automations using LLM platforms and APIs (OpenAI, Claude, etc.), Azure services, and low-code tools, including prompt engineering, testing, and evaluation of model outputs. Project Ownership: Own projects from initial concept through production release while meeting or exceeding defined accuracy and performance targets. Systems Integration: Configure and maintain integrations between AI tools, business systems, and third-party platforms to support automated workflows. Requirements Gathering: Conduct stakeholder interviews, map business processes, document requirements, and translate business needs into technical specifications and user stories. Testing and Quality Assurance: Plan and coordinate user acceptance testing, monitor production accuracy and performance following go-live, and identify and implement refinements. Documentation: Create and maintain technical documentation, process maps, and end-user guidance for both internal teams and Clients. Client Delivery: Support billable Client engagements including AI development, business analysis, and reporting work. Communication: Communicate effectively with the development team, management, and Clients to provide clear status updates, surface risks early, and guarantee prompt and responsive delivery. The successful candidate will be a self-starter who learns quickly, takes ownership, and is comfortable working on both new builds and work in progress. They will have a passion for excellence, strong problem-solving instincts, and the ability to work independently or in a group setting. Because this role bridges technical and business audiences, the candidate must communicate clearly and professionally in both verbal and written formats. Education and Experience The ideal candidate will possess the following abilities, attributes, experience and skills: Bachelor's Degree in AI, Data Analytics, Computer Science, Information Systems, or a related field is preferred; equivalent practical experience will be considered. 1-5 years of relevant experience, including internships; aptitude and learning ability are prioritized over years of experience. Hands-on experience with AI tools and LLM platforms such as OpenAI or Claude, including prompt engineering and output evaluation (required). Understanding of Azure services or comparable cloud platforms (required). Understanding of APIs and how systems connect and exchange data (required). Business analysis experience including requirements gathering, stakeholder interviews, process mapping, or user story writing is highly preferred. Demonstrated ability to own a project from concept through completion is highly preferred. Exposure to scripting or programming languages such as Python is desired but not required. Exposure to Power BI, SQL, or data analysis tools is desired but not required. Familiarity with PSA or ticketing platforms is desired but not required. Azure certifications (AZ-900 or AI-900) are desired but not required; AI-102 is a plus. Ability to work under pressure, manage multiple priorities, and interpret instructions furnished in written, oral, diagram, or schedule form. Solid decision-making, problem-solving approaches, and ability to support routine to complex analysis efficiently and accurately. Why Join Bridgehead IT? Serve as a trusted advisor for a diverse portfolio of SMB and Major Accounts. Influence technology strategy and business outcomes. Work alongside highly skilled engineers, architects, and technology leaders. Gain exposure to a wide range of industries and technologies. Enjoy a high-impact role with significant visibility and growth opportunities. Be part of a team that values ownership, innovation, accountability, and exceptional client service. At Bridgehead IT, we believe technology should drive business success. If you're passionate about both technology and people, we'd love to hear from you.

Responsibilities

The AI Solutions Engineer designs, builds, and maintains AI-powered automation solutions and applications using LLM platforms and Azure services. The role bridges technical and business needs by documenting workflows and translating stakeholder requirements into technical specifications.