AI Engineer

About the role

Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Secret

What You Will Do

• 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.

What You Will Need: 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). What Would Be Nice To Have: 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.

What We Offer

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at or via email at.

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