AI Engineer

US101 Guidehouse Inc.; Huntsville (AL); Hybrid; USD 102,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Paid Holidays

Discretionary bonus potential

401(k) Retirement Plan

Life & Disability Insurance

Tuition Reimbursement

Learning Opportunities

Employee Referral Program

Mobility Stipend

Job summary

Guidehouse is seeking an experienced AI architect to implement an enterprise AI strategy and establish on-premises AI server infrastructure. You will integrate capabilities for prompts, tool calling, embeddings, and fine-tuning across applications, while collaborating with data scientists, engineers, and product teams to mature use cases into scalable solutions.

Ideal candidates have extensive Generative AI/LLM experience, cloud-native service knowledge, and a track record in leading AI-driven

Qualifications

• Active and maintained SECRET clearance is required.
• Bachelor’s degree is required.
• 8+ years of professional experience in software, data, RAG architecture or ML engineering.
• 3 years in AI/LLM; cloud-native services incl. 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 across the client organization.
• Coordinate with stakeholders to establish an on-premises AI server.
• Integrate AI capabilities into applications and services.
• Collaborate with data scientists, platform engineers and product teams to iterate on use cases and deliver POCs/MVPs.
• Follow responsible AI practices and security/compliance across environments.
• Drive digital transformation initiatives leveraging AI to improve mission and operating efficiency.

Skills

Clearance required

Cross-functional collaboration

Python experience

Education

Bachelor's degree

Master's degree in a technical field

Tools

OpenAI

Anthropic

Google Gemini

AWS Bedrock

On-premises AI infrastructure

Job description

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.

What We Offer:

• 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

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.

Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com