Note: The job is a remote job and is open to candidates in USA. Guidehouse is hiring an AI Prototype Deployment Engineer to support AI Studio prototype deployment efforts within the Advana ecosystem. The role focuses on deploying, integrating, testing, and operationalizing AI prototypes in cloud-native environments, primarily Databricks, while coordinating with data engineering teams and ensuring secure, reliable, production-ready solutions.
Responsibilities
- 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
- 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
- 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
Skills
- 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
- 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
Benefits
- 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
Company Overview