AI Engineer

Guidehouse Inc.; Huntsville (AL); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Tuition Reimbursement

Mobility Stipend

Job summary

Guidehouse Inc. is seeking an experienced AI/ML architect in Huntsville, AL to lead integration of AI capabilities across client projects. The role focuses on on-premises AI server setup, tool orchestration, and securing compliant, scalable deployments for both government and commercial environments.

You will work with data scientists, platform engineers, and product teams to deliver POCs/MVPs, optimize token efficiency, and ensure responsible AI practices throughout development and deployment.

Qualifications

• Active SECRET security clearance required.
• 8+ years of professional experience with 3+ years in software/data/ML engineering and cloud-native services.
• 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 across client org.
• Coordinate with stakeholders to establish on-prem AI server.
• Integrate AI capabilities into applications and services.
• Collaborate with data scientists, platform engineers, and product teams.
• Follow responsible AI practices and security/compliance requirements.
• Lead digital transformation initiatives leveraging AI to improve missions and efficiency.

Skills

Generative AI / LLMs

Cloud-native services

On-prem AI infrastructure

Python

Documentation

Stakeholder collaboration

Cost optimization / token efficiency

Leadership / client-facing

Education

Bachelor's degree

Master's degree (nice to have)

Tools

OpenAI

Anthropic

Google Gemini

AWS Bedrock

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 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.

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 [e-mail] . 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 [e-mail] . 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.