AI Engineer

Guidehouse

. Implement AI strategy to increase adoption of AI technologies across the client organization .

Posted 10/22/2026full-timeRemote • Alabama • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in implementing AI strategies and integrating AI capabilities into applications, with a strong focus on Generative AI and LLM technologies. Proven ability to lead cross-functional teams and manage on-premises AI infrastructure while adhering to security and compliance standards.

Highest-signal resume keywords

Active Secret Security ClearanceGenerative AI/LLM TechnologiesCloud-Native Services DevelopmentOn-Premises AI Infrastructure ManagementAI Security Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Strategy ImplementationPrompt OrchestrationTool/Function CallingEmbeddingsFine-TuningData Pipeline ArchitectureToken Efficiency OptimizationSoftware Development Life CycleData Science ToolsPython

Soft Skills

Clear DocumentationCross-Functional CollaborationClient-Facing EngineeringOrganizational PlanningProject Management

Tools & Technologies

OpenAIAnthropicGoogle GeminiAWS BedrockRMATLAB

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Digital TransformationResponsible AI PracticesSecurity/Compliance RequirementsHybrid AI/ML SolutionsAdversarial Robustness

Tech Stack

Tools & technologies

AWSCloudPythonSDLC

About the role

Key responsibilities & impact

Implement AI strategy to increase adoption of AI technologies across the client organization
Coordinate with stakeholders to establish an on-premises AI server
Integrate AI capabilities including prompt orchestration, tool/function calling, embeddings, and 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 mission accomplishment and increase operating efficiencies

Requirements

What you’ll need

An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
Bachelor’s degree
EIGHT (8) or more years of professional experience
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, and model routing
Ability to write clear documentation and collaborate in cross-functional teams
Experience contributing to client-facing engineering in consulting or product environments
Demonstrated experience deploying and managing on-premises, self-hosted model infrastructure
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
Demonstrated expert experience leading development efforts with clear examples of value added to the client
Experience interacting with end-users to understand and document business and functional requirements for complex projects
Experience collaborating with technical teams across the full software development life cycle
Considerable proven knowledge of organizational planning and project management specific to lifecycle development processes
Experience with common data science tools such as R, Python, and MATLAB, with a heavy emphasis on Python

Benefits

Comp & perks

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
Flexible benefits package