Guidehouse

AI Engineer

Guidehouse

full-time

Posted on:

Location Type: Remote

Location: Remote • Virginia • 🇺🇸 United States

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Salary

💰 $113,000 - $188,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonTerraformTypeScript

About the role

  • Build, test, and deploy AI applications and services, translating solution designs and reference architectures into working, demo-ready components
  • Implement data and ML pipelines (ingest, transform, feature stores, vector indexes) and wire up retrieval-augmented generation (RAG) and agentic workflows
  • Package and serve models (LLMs and traditional ML) via APIs and microservices using containers and orchestration (e.g., Docker, Kubernetes)
  • Stand up and maintain cloud resources and AI platforms (AWS, Azure, GCP; Palantir; Databricks), including CI/CD, IaC (e.g., Terraform), secrets, and observability
  • 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
  • Contribute to demos, technical documentation, and solution content for proposals and pitch materials
  • Follow responsible AI practices and security/compliance requirements across commercial and public sector environments

Requirements

  • US Citizenship is required
  • Bachelor’s degree is required
  • Minimum THREE (3) years of experience in software, data, or ML engineering, including building and operating cloud-native services
  • Minimum ONE (1) year of hands-on experience with Generative AI and/or agentic patterns (e.g., RAG, function/tool calling, prompt orchestration)
  • Proficiency with at least one major cloud (AWS, Azure, or GCP) and modern DevOps practices (Git, CI/CD, containerization, infrastructure as code)
  • Strong programming skills in Python and/or TypeScript/JavaScript; comfort working with APIs, SDKs, and common data formats
  • Familiarity with vector databases and embeddings and LLM application frameworks
  • Ability to troubleshoot production systems (logs, metrics, traces), write clear documentation/runbooks, and collaborate in cross-functional teams
  • Growth mindset with interest in expanding into broader architecture responsibilities over time
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI applicationsML pipelinesdata transformationfeature storesvector indexesAPIsmicroservicescloud-native servicesGenerative AIprogramming in Python
Soft skills
collaborationtechnical documentationtroubleshootingclear communicationgrowth mindset
Certifications
Bachelor's degree