AI Engineer

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.

The annual salary range for this position is $-$. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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.

Benefits include:

Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus

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 Pay Down Tuition  Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored…