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AI Engineer

Guidehouse Inc. McLean, VA

McLean, VA

Today

$98k - $163k/yr Full time Agentic Ai Ai Engineering Architecture

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Job Description

Guidehouse Inc. is seeking an AI Engineer in McLean, VA (onsite) to build, test, and deploy AI applications and services. The work spans data and ML pipelines, retrieval-augmented generation, agentic workflows, and the integration of LLM capabilities into production-ready systems.

Key Responsibilities

Build, test, and deploy AI applications and services by translating solution designs and reference architectures into demo-ready components.
Develop data and ML pipelines, including ingest, transform, feature stores, and vector indexes, and connect them to RAG and agentic workflows.
Package and serve models (LLMs and traditional ML) through APIs and microservices using containers and orchestration tooling such as Docker and Kubernetes.
Stand up and maintain cloud and AI platform resources across environments including AWS, Azure, GCP, Palantir, and Databricks, with support for CI/CD, infrastructure as code (for example, Terraform), secrets management, and observability.
Integrate AI capabilities into applications and services, including prompt orchestration, tool/function calling, embeddings, and fine-tuning.
Partner with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden solutions for scale.
Support demos, technical documentation, and solution content for proposals and pitch materials.
Apply responsible AI practices and follow security and compliance requirements across both commercial and public sector environments.

Required Qualifications

US Citizenship is required.
Bachelor’s degree is required.
Minimum 3 years of experience in software, data, or ML engineering, including building and operating cloud-native services.
Minimum 1 year of hands-on experience with Generative AI and/or agentic patterns such as RAG, function/tool calling, and prompt orchestration.
Proficiency with at least one major cloud (AWS, Azure, or GCP) plus modern DevOps practices including Git, CI/CD, containerization, and infrastructure as code.
Familiarity with vector databases and embeddings, along with LLM application frameworks.
Ability to troubleshoot production systems using logs, metrics, and traces; write clear documentation and runbooks; and collaborate effectively across teams.
Growth mindset with interest in expanding responsibilities into broader architecture over time.

Technologies

AWS, Azure, GCP, Palantir, Databricks
Docker, Kubernetes
Terraform, CI/CD, IaC, Git
Vector databases, embeddings
LLM application frameworks
Retrieval-augmented generation (RAG), prompt orchestration, tool/function calling, fine-tuning
Microservices, APIs

Benefits

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

Additional Information

Salary: USD 98,000 - 163,000 per yearly
Location: McLean, VA (onsite)
Travel Required: Up to 10%
Clearance Required: None
JOB FAMILY: Engineering Consulting
WHAT WOULD BE NICE TO HAVE: Ability to obtain and maintain a Federal or DoD SECRET security clearance (active clearance preferred); certifications in cloud architecture, DevOps, or AI/ML (for example AWS/Azure/GCP, Databricks, Kubernetes); experience contributing to client-facing engineering in consulting or product environments; Master’s degree
WHAT WE OFFER: A comprehensive, total rewards package including competitive compensation and a flexible benefits package supporting a diverse and supportive workplace

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