AI Prototype Deployment Engineer

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., All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . 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 . 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., Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that re…

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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.