AI/Data Engineer

Guidehouse

AI Engineer supporting the design, development, and deployment of AI-enabled applications for federal clients at Guidehouse. Collaborating with teams to translate operational workflows into scalable AI systems.

Posted 5/21/2026full-timeRemote • Alabama, Colorado, Illinois, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $106,000 - $176,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Design, build, and deploy AI-enabled applications that support real operational workflows and decision-making for DoW, federal, and enterprise environments.
Develop application logic that integrates AI models, APIs, data pipelines, user interfaces, and enterprise systems.
Implement retrieval-augmented generation, semantic search, embeddings, vector databases, prompt strategies, and agent-based workflows where appropriate.
Integrate structured and unstructured enterprise data sources into AI-enabled applications.
Build orchestration workflows that connect foundation models, machine learning services, tools, APIs, and secure enterprise environments.
Develop evaluation frameworks to measure AI output quality, grounding, accuracy, traceability, and failure modes.
Implement guardrails, validation checks, fallback logic, and human-in-the-loop review points to support reliable AI behavior.
Support training, tuning, evaluation, and validation of AI or machine learning models using enterprise data while ensuring outputs remain defensible, explainable, and aligned to approved methodologies.
Develop secure APIs, backend services, dashboards, visualizations, and integration components for AI-enabled analytic tools and decision-support platforms.
Implement monitoring, logging, observability, model performance tracking, and cost controls for AI systems in operation.
Advise on model transparency, explainability, auditability, data governance, information assurance, and access controls required for secure DoW and federal deployment.
Collaborate with functional SMEs to translate business needs, mission requirements, workflow requirements, review expectations, and operational constraints into technical requirements.
Contribute reusable AI components, accelerators, reference architectures, and delivery patterns for future enterprise and federal AI implementations.
Support demonstrations, pilots, proofs of value, testing, deployment readiness, and user acceptance activities with internal and client stakeholders.

Requirements

What you’ll need

US Citizenship Required
An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelor's degree obtained or equivalent practical experience.
Experience designing, building, or deploying AI-enabled applications, analytic tools, decision-support systems, or machine learning solutions.
Strong software engineering fundamentals, including APIs, backend services, data pipelines, system integration, and production deployment practices.
Applied experience with machine learning, generative AI, large language models, retrieval-augmented generation, embeddings, vector databases, semantic search, or prompt engineering.
Experience deploying applications or analytic services in cloud or enterprise environments using CI/CD, version control, testing, and secure development practices.

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-enabled applicationsAPIsdata pipelinesmachine learninggenerative AIlarge language modelsretrieval-augmented generationembeddingsvector databasessemantic search

Soft Skills

collaborationcommunicationproblem-solvingtechnical requirements translationstakeholder engagement

Certifications

SECRET Federal security clearance