AI Solutions Engineer

Bridgehead IT, LLCSan Antonio, TX
Hybrid

About The Position

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. 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.

Requirements

  • 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).
  • 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.

Nice To Haves

  • 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.
  • 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.

Responsibilities

  • 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.
  • Own projects from initial concept through production release while meeting or exceeding defined accuracy and performance targets.
  • Configure and maintain integrations between AI tools, business systems, and third-party platforms to support automated workflows.
  • Conduct stakeholder interviews, map business processes, document requirements, and translate business needs into technical specifications and user stories.
  • Plan and coordinate user acceptance testing, monitor production accuracy and performance following go-live, and identify and implement refinements.
  • Create and maintain technical documentation, process maps, and end-user guidance for both internal teams and Clients.
  • Support billable Client engagements including AI development, business analysis, and reporting work.
  • Communicate effectively with the development team, management, and Clients to provide clear status updates, surface risks early, and guarantee prompt and responsive delivery.

Benefits

  • 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.
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