AI Engineer

Guidehouse•Huntsville, AL

19d

About The Position

The AI Engineer implements AI strategy to increase adoption of AI technologies across a client organization. The role coordinates with stakeholders to establish on-premises AI servers and integrates AI capabilities—including prompt orchestration, tool/function calling, embeddings, and fine-tuning—into applications and services. The engineer collaborates with data scientists, platform engineers, and product teams to develop use cases, deliver proofs of concept and minimum viable products, and prepare them to scale. The position also involves applying responsible AI practices and meeting security and compliance requirements across commercial and public sector environments, while conducting digital transformation initiatives that use AI to improve mission accomplishment and operating efficiency.

Requirements

Active and maintained Secret federal or DoD security clearance.
Bachelor’s degree.
At least 8 years of professional experience.
At least 3 years of experience in software, data, RAG architecture/vector databases, or ML engineering, including building and operating cloud-native services such as OpenAI, Anthropic, Google Gemini, or AWS Bedrock.
At least 2 years focused specifically on Generative AI/LLM technologies.
At least 1 year optimizing token efficiency and cost management in production LLM applications, such as through prompt compression, caching, context-window management, or 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 a relevant technical or engineering program.
Demonstrated experience deploying and managing on-premises, self-hosted model infrastructure, not solely cloud-based or SaaS AI tools.
Experience architecting scalable hybrid on-premises and cloud AI/ML solutions end-to-end, from data pipeline through deployment.
Working knowledge of AI security concepts, including adversarial robustness, model access controls, and data protection in restricted environments.
Expert experience leading development efforts, with clear examples of value added to the client.
Experience interacting with end-users to understand and document business and functional requirements for complex projects, and collaborating with technical teams throughout the software development life cycle.
Proven knowledge of organizational planning and project management specific to lifecycle development processes.
Experience with common data science tools such as R, Python, and MATLAB, with a heavy emphasis on Python.

Responsibilities

Implement AI strategy to increase adoption of AI technologies across client organizations.
Coordinate with stakeholders to establish on-premises AI servers.
Integrate AI capabilities, including prompt orchestration, tool/function calling, embeddings, and fine-tuning, into applications and services.
Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and prepare them to scale.
Follow responsible AI practices and security and compliance requirements across commercial and public sector environments.
Conduct AI-driven digital transformation initiatives to improve mission accomplishment and operating efficiency.

Benefits

Medical, prescription, dental, and vision insurance.
Personal and family sick time and company-paid holidays.
Position may be eligible for a discretionary variable incentive bonus.
Parental leave and adoption assistance.
401(k) retirement plan.
Basic life and supplemental life insurance.
Health Savings Account and Dental/Vision and Dependent Care Flexible Spending Accounts.
Short-term and long-term disability.
Student Loan PayDown.
Tuition reimbursement, personal development, and learning opportunities.
Skills development and certifications.
Employee referral program.
Corporate-sponsored events and community outreach.
Emergency back-up childcare program.
Mobility stipend.