AI Engineer

Guidehouse; Northern (KY); Hybrid; USD 102,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Tuition Reimbursement

Professional Certifications Supported

Job summary

Guidehouse is seeking an AI Engineer to drive strategy and adoption of AI technologies across client organizations. You will coordinate on-prem AI server work and integrate cutting-edge LLM capabilities into applications.

The role requires strong experience with Generative AI, cloud-native services, and secure, scalable deployments. You will collaborate with diverse teams to deliver POCs and mature them for production.

Qualifications

• Active and maintained SECRET security clearance required.
• 8+ years of professional experience in software, data, RAG architecture, vector databases or ML engineering.
• 3+ years building and operating cloud-native AI services (OpenAI, Anthropic, Gemini, Bedrock).
• 2+ years focused on Generative AI/LLM technologies.
• 1 year optimizing token efficiency and cost in production LLM apps (prompt compression, caching, context window, routing).

Responsibilities

• Define and implement AI strategy to increase adoption of AI across client organizations.
• Coordinate with stakeholders to establish on-prem AI server infrastructure.
• Integrate AI capabilities into applications and services.
• Collaborate with data scientists, platform engineers, and product teams to deliver POCs/MVPs at scale.
• Follow responsible AI, security and compliance practices across environments.
• Lead digital transformation initiatives leveraging AI to improve mission outcomes.

Skills

AI/ML engineering

Generative AI/LLM

Cloud-native services

Token optimization

Documentation

Cross-functional collaboration

Education

Bachelor’s degree

Master’s degree (nice to have)

Tools

Python

OpenAI

Anthropic

Google Gemini

AWS Bedrock

R

MATLAB

Job description

## AI EngineerApply: US - Remote (Any location): Full time: Posted 4 Days Ago: 42927**Job Family:**Data Science Consulting**Travel Required:**None**Clearance Required:**Active Secret**What You Will Do:*** 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.**What You Will Need:*** 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).**What Would Be Nice To Have:*** 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.The annual salary range for this position is $102,000.00-$170,000.00. 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.Benefits include:* 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