Guidehouse

AI Prototype Deployment Engineer

Guidehouse$85K — $141K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Secret clearance is required.
  • Experience with Databricks and cloud-native deployment workflows.
  • Understanding of AI/ML lifecycle operations.
  • Ability to work in remote or government-site environments.
  • Familiarity with deployment automation and DevOps practices.
  • Strong communication skills for collaboration across teams.

Responsibilities

  • Lead cross-team deployment activities ensuring alignment with program strategy.
  • Oversee deployment planning and resource coordination.
  • Establish best practices for integration and operational readiness.
  • Mentor team members as the primary contact for deployment issues.
  • Deploy AI prototypes using Databricks and integrate with existing systems.
  • Support debugging, performance tuning, and automation.
  • Conduct quality checks and maintain documentation during rollout.

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement and Personal Development Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
Full Job Description
Job Family:
Data Engineering & Architecture Consulting

Travel Required:
Up to 10%

Clearance Required:
Active Secret

What You Will Do:
This role provides technical support to prototype deployment activities for AI Studio efforts within the Advana ecosystem. You will assist in deploying, integrating, testing, and operationalizing AI prototypes that align with program needs and the work described in the RFP submission. All tracks will work within cloud-native environments, primarily Databricks, to ensure prototypes are production-ready, compliant, secure, and capable of supporting mission stakeholders. Responsibilities include coordinating with data engineering teams, validating model performance, ensuring deployment pipelines function reliably, and supporting documentation, configuration, and integration tasks.

Responsibilities:

AI Studio Prototype Deployment - Lead:
• Lead cross-team deployment activities, ensuring alignment with overall program strategy and successful rollout of prototype capabilities.
• Oversee deployment planning, resource coordination, and risk mitigation strategies.
• Establish and enforce best practices for prototype integration, CI/CD patterns, security compliance, and operational readiness.
• Mentor team members and serve as the primary point of contact for deployment-related progress and issues.

AI Studio Prototype Deployment - Engineer:
• Deploy AI prototypes using cloud-native tools, including Databricks and Advana operational environments.
• Integrate prototype components with existing systems and data pipelines.
• Support debugging, performance tuning, and deployment automation.
• Work with cross-functional teams to validate prototype functionality and ensure readiness for stakeholders.

AI Studio Prototype Deployment - Specialist:
• Assist with preparing environments, running tests, and supporting deployment tasks within Databricks and associated cloud platforms.
• Conduct initial quality checks and gather feedback during prototype rollout.
• Maintain documentation and track deployment configurations and procedures.

What You Will Need:
  • Secret clearance required.
  • Experience working with Databricks, data pipelines, notebooks, and cloud-native deployment workflows.
  • Understanding of AI/ML lifecycle operations, including model packaging, testing, and validation.
  • Ability to work within remote or government-site environments as needed (Washington, DC or Northern Virginia).
  • Familiarity with deployment automation, DevOps practices, version control, and secure data-handling procedures.
  • Strong communication skills and ability to collaborate across technical and non-technical teams.


What Would Be Nice To Have:
  • Experience supporting AI/ML programs within federal environments.
  • Familiarity with Advana, or similar large-scale data platforms.
  • Knowledge of CI/CD tools, model registries, Lakehouse architectures, and secure deployment pipelines.
  • Experience with Python, PySpark, or cloud orchestration technologies.


The annual salary range for this position is $85,000.00-$141,000.00. 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


About Guidehouse

Guidehouse is a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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