Guidehouse Inc. is seeking an AI Engineer to design, build, test, and deploy AI applications and services in a cloud environment. The position focuses on production-ready delivery of data and ML capabilities, including retrieval-augmented generation and agentic workflows, alongside model packaging and secure, compliant operations across commercial and public sector contexts.
Key Responsibilities
- Build, test, and deploy AI applications and services by translating solution designs and reference architectures into demo-ready components.
- Implement data and ML pipelines, including ingest, transform, feature stores, and vector indexes, and connect them to RAG and agentic workflows.
- Package and serve LLMs and traditional ML models through APIs and microservices using containers and orchestration tools such as Docker and Kubernetes.
- Stand up and maintain cloud resources and AI platforms across AWS, Azure, GCP, and tools such as Palantir and Databricks, including CI/CD, infrastructure as code (for example, Terraform), secrets management, and observability.
- Integrate AI capabilities into applications and services, including prompt orchestration, tool or function calling, embeddings, and fine-tuning.
- Work with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden solutions for scale.
- Support demos and contribute to technical documentation and proposal or pitch solution content.
- Apply responsible AI practices and security and compliance requirements throughout development and deployment.
Required Qualifications
- 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 such as RAG, function or tool calling, and prompt orchestration.
- Proficiency with at least one major cloud (AWS, Azure, or GCP) and modern DevOps practices including Git, CI/CD, containerization, and infrastructure as code.
- Familiarity with vector databases and embeddings, plus LLM application frameworks.
- Ability to troubleshoot production systems using logs, metrics, and traces, and to write clear documentation and runbooks while collaborating across teams.
- Growth mindset with interest in expanding into broader architecture responsibilities over time.
Tools & 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, and APIs.
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.
Compensation, Location, and Logistics
- Location: McLean, VA (onsite)
- Salary: USD 98,000 - 163,000 per year
- Travel required: Up to 10%
- Clearance required: None
- Job family: Engineering Consulting
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
What Guidehouse Offers
Guidehouse provides a comprehensive total rewards package that includes competitive compensation and a flexible benefits offering, designed to support a diverse and inclusive workplace.
