AI Engineer

Guidehouse•Huntsville, AL

21h•Onsite

About The Position

Implement AI strategy to increase adoption of AI technologies across client organization. Coordinate with related stakeholders to establish on-premises AI server. 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. Follow responsible AI practices and security/compliance requirements across commercial and public sector environments. Conduct digital transformation initiatives leveraging AI technologies to improve organization’s mission accomplishment and increase operating efficiencies.

Requirements

An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
Bachelor’s degree
EIGHT (8) or more years of professional experience including the following:
THREE (3) years of experience in software, data, RAG architecture/vector databases or ML engineering, including building and operating cloud-native services including but not limited to OpenAI, Anthropic, Google Gemini, or AWS Bedrock
TWO (2) years focused specifically on Generative AI/LLM technologies.
ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing).

Nice To Haves

Ability to write clear documentation and collaborate in cross-functional teams.
Experience contributing to client-facing engineering in consulting or product environments.
Master’s degree in relevant technical or engineering program.
Demonstrated experience deploying and managing on-premises, self-hosted model infrastructure (not solely cloud-based/SaaS AI tools).
Experience architecting scalable, hybrid (on-prem + cloud) AI/ML solutions end-to-end, from data pipeline to deployment.
Working knowledge of AI security concepts, including adversarial robustness, model access controls, and data protection in restricted environments.
Demonstrates expert experience in leading development efforts with clear examples of value added to the client.
Demonstrates experience interacting with end-users to understand and document business and functional requirements for complex projects, as well as collaborating with technical teams across the full software development life cycle.
Demonstrates considerable proven knowledge of organizational planning and project management specific to lifecycle development processes.
Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.

Responsibilities

Implement AI strategy to increase adoption of AI technologies across client organization.
Coordinate with related stakeholders to establish on-premises AI server.
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.
Follow responsible AI practices and security/compliance requirements across commercial and public sector environments.
Conduct digital transformation initiatives leveraging AI technologies to improve organization’s mission accomplishment and increase operating efficiencies.

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