AI Prototype Deployment Engineer

Posted 18 Hours Ago
2 Locations
In-Office or Remote
85K-141K Annually
Mid level
Consulting
The Role
Deploy, integrate, test, and operationalize AI prototypes in cloud-native environments (primarily Databricks). Coordinate with data engineering, validate model performance, ensure CI/CD, security compliance, and operational readiness while supporting documentation and stakeholder readiness.
Summary Generated by Built In

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 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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Skills Required

  • Active Secret clearance
  • Experience with Databricks, data pipelines, and notebooks
  • Experience with cloud-native deployment workflows and deployment automation
  • Understanding of AI/ML lifecycle operations including model packaging, testing, and validation
  • Familiarity with DevOps practices, CI/CD patterns, and version control (e.g., Git)
  • Knowledge of secure data-handling procedures and security/compliance best practices
  • Ability to work on remote or government-site environments (Washington, DC or Northern Virginia)
  • Strong communication skills and ability to collaborate across technical and non-technical teams
  • Experience supporting AI/ML programs within federal environments
  • Familiarity with Advana or similar large-scale data platforms
  • Knowledge of CI/CD tools, model registries, and Lakehouse architectures
  • Experience with Python, PySpark, or cloud orchestration technologies

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

Guidehouse Insights

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The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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