AI Engineer

GuidehouseHuntsville, AL
$102,000 - $170,000Onsite

About The Position

Guidehouse is seeking an AI Engineer to implement AI strategy, increase adoption of AI technologies across client organizations, and coordinate with stakeholders to establish on-premises AI servers. The role involves integrating AI capabilities such as prompt orchestration, tool/function calling, embeddings, and fine-tuning into applications and services. The AI Engineer will collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver Proofs of Concept (POCs) and Minimum Viable Products (MVPs), and prepare them for scaling. A key aspect of the role is to follow responsible AI practices and adhere to security/compliance requirements in both commercial and public sector environments. Additionally, the position will conduct digital transformation initiatives leveraging AI technologies to enhance mission accomplishment and improve operating efficiencies.

Requirements

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
  • Bachelor’s degree
  • EIGHT (8) or more years of professional experience including the following:
  • THREE (3) years of experience in software, data, RAG architecture/vector databases or ML engineering, including building and operating cloud-native services including but not limited to OpenAI, Anthropic, Google Gemini, or AWS Bedrock
  • TWO (2) years focused specifically on Generative AI/LLM technologies.
  • ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).

Nice To Haves

  • Ability to write clear documentation and collaborate in cross-functional teams.
  • Experience contributing to client-facing engineering in consulting or product environments.
  • Master’s degree in relevant technical or engineering program.
  • Demonstrated experience deploying and managing on-premises, self-hosted model infrastructure (not solely cloud-based/SaaS AI tools).
  • Experience architecting scalable, hybrid (on-prem + cloud) AI/ML solutions end-to-end, from data pipeline to deployment.
  • Working knowledge of AI security concepts, including adversarial robustness, model access controls, and data protection in restricted environments.
  • Demonstrates expert experience in leading development efforts with clear examples of value added to the client.
  • Demonstrates experience interacting with end-users to understand and document business and functional requirements for complex projects, as well as collaborating with technical teams across the full software development life cycle.
  • Demonstrates considerable proven knowledge of organizational planning and project management specific to lifecycle development processes.
  • Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.

Responsibilities

  • Implement AI strategy to increase adoption of AI technologies across client organization.
  • Coordinate with related stakeholders to establish on-premises AI server.
  • Integrate AI capabilities (prompt orchestration, tool/function calling, embeddings, fine-tuning) into applications and services.
  • Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale.
  • Follow responsible AI practices and security/compliance requirements across commercial and public sector environments.
  • Conduct digital transformation initiatives leveraging AI technologies to improve organization’s mission accomplishment and increase operating efficiencies.

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
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