AI Engineer

Engineering Consulting Position

Job Family:
Engineering Consulting

Travel Required:

Up to 10%

Clearance Required:

None

What You Will Do:

• 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.

What You Will Need:

• 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 Dev Ops practices (Git, CI/CD, containerization, infrastructure as code).
• Serve as a forward deployed engineer, collaborating with data scientists, platform engineers, and product teams to rapidly iterate on solutions, deliver POCs/MVPs, and harden them for production scale. 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.

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, Dev Ops, or AI/ML (e.g., AWS/Azure/GCP, Databricks, Kubernetes).
• Experience contributing to client-facing engineering in consulting or product environments.
• Master's degree

The annual salary range for this position is $98,000.00-$. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

• 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 Pay Down
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.