AI Engineer

• 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.

• 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 $102,000.00-$170,000.00. 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 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.