Asks for

The ad says“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”
The ad says“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”
The ad says“ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).”
The ad says“ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).”
The ad says“ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).”
The ad says“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”
The ad says“TWO (2) years focused specifically on Generative AI/LLM technologies.”
The ad says“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”
The ad says“TWO (2) years focused specifically on Generative AI/LLM technologies.”
The ad says“Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.”
The ad says“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”
The ad says“ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).”
The ad says“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”
The ad says“ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).”
The ad says“Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.”
The ad says“Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.”
The ad says“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”
The ad says“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”
The ad says“ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).”
The ad says“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”

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 $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.