AI Prototype Deployment Engineer

Dovel Technologies, Inc; McLean, Northern (VA, KY); Hybrid; USD 85,000 - 141,000; Full time

Benefits offered by this job

Medical Insurance

401(k)

Paid Holidays

Performance bonus

Parental Leave

Tuition Reimbursement

Learning Opportunities

Employee Referral Program

Mobility Stipend

Job summary

Guidehouse in the United States seeks a data deployment professional to lead AI Studio prototype deployments using Databricks within Advana environments, aligning with program needs and the RFP. You will deploy, test, validate, integrate, and document pipelines, mentoring teammates and ensuring security and operational readiness across cloud-native deployments.

The role requires secret clearance, experience with Python, PySpark, Databricks, and DevOps practices, and work in Washington, DC or

Qualifications

• Secret clearance required.
• Experience 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 in remote or government-site environments (DC-area).

Responsibilities

• Lead cross-team deployment activities for AI Studio prototypes and coordinate rollout.
• Oversee deployment planning, resource coordination and risk mitigation.
• Establish best practices for prototype integration, CI/CD, security compliance and readiness.
• Mentor team members and be the primary contact for deployment progress and issues.
• Deploy AI prototypes using Databricks and Advana environments; validate functionality.

Skills

Databricks

Data pipelines

Notebooks

CI/CD

DevOps

Version control

Python

PySpark

Cloud orchestration

Tools

Advana

Cloud platforms

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 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.

Salary and Compensation:

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 global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future.

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.

guidehouse.com