AI Engineer

Guidehouse

United States

Remote

USD 102,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Bonuses
Parental leave
401(k)
Life Insurance
HSA/FSA
Disability
Student loan paydown
Tuition reimbursement
Learning opportunities
Employee referrals
Mobility stipend

Job summary

Guidehouse is seeking an experienced AI/ML professional with an active SECRET clearance to lead AI strategy and architecture across client programs. You will coordinate with data scientists, platform engineers, and product teams to design and deploy on-premises AI servers, integrate LLM capabilities, and scale pilot projects.

You will ensure responsible AI practices, security compliance, and efficient token/cost management while transforming client operations with AI-driven solutions.

Qualifications

  • ACTIVE and MAINTAINED SECRET federal or DoD security clearance.
  • Bachelor’s degree.
  • 8+ years of professional experience in software, data, RAG architecture, or ML engineering.
  • 3 years building/operating cloud-native AI services (OpenAI, Anthropic, Gemini, AWS Bedrock).
  • 2 years focused on Generative AI/LLM technologies.
  • 1 year optimizing token efficiency and cost in production LLM apps.

Responsibilities

  • Implement AI strategy to increase adoption of AI technologies across client organization.
  • Coordinate with stakeholders to establish on-premises AI server.
  • Integrate AI capabilities (prompt orchestration, tool/function calling, embeddings, fine-tuning) into apps and services.
  • Collaborate with data scientists, platform engineers, and product teams to iterate on use cases and deliver POCs/MVPs.
  • Harden use cases for scale while following responsible AI and security/compliance requirements.
  • Lead digital transformation initiatives leveraging AI to improve mission and operating efficiency.

Skills

AI strategy
Stakeholder coordination
Generative AI
LLM technologies
Cloud-native services
Cost optimization

Education

Bachelor's degree

Tools

OpenAI
Anthropic
Google Gemini
AWS Bedrock
On-premises AI server

Job description

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 securityclearance
  • 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 fortoken efficiency and cost managementin production LLM applications (e.g., prompt compression, caching, context window management, model routing).
What Would Be Nice To Have:
  • Ability to write cleardocumentationand 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 managingon-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.

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 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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