AI Standards Engineer

Guidehouse • McLean, DC

4d

About The Position

Define, implement, and maintain engineering, quality, and operational standards that support AI Studio development within a secure, enterprise-scale environment. Ensure all AI solutions adhere to best practices for reliability, scalability, model lifecycle governance, and responsible AI implementation. Collaborate with development, MLOps, data engineering, and product teams to align standards with mission needs and technical requirements. Support integration and standardization efforts across Advana platforms, including Databricks-based workflows, model development pipelines, and data engineering patterns. Develop documentation, checklists, engineering playbooks, and audit mechanisms that enforce compliance with approved development and operational standards. Provide guidance and review for AI/ML code, notebooks, models, and CI/CD pipelines to ensure consistency with established frameworks. Contribute directly to the successful execution of work proposed in the associated RFP submission by ensuring repeatable, compliant, and high-quality delivery processes.

Requirements

• Ability to design, document, and enforce engineering and operational standards for AI/ML development.
• Experience supporting AI/ML development in secure enterprise environments.
• Hands-on experience with Databricks, including notebooks, clusters, repos, workflows, and model deployment patterns.
• Experience with CI/CD, version control, and automated quality enforcement.
• Familiarity with model governance, documentation, and lifecycle management.
• Strong ability to collaborate across cross-functional technical and mission teams.
• Active Secret clearance required.

Nice To Haves

• Experience supporting DoD or federal data/AI programs.
• Knowledge of responsible AI principles and compliance frameworks.
• Experience with automated testing, linting, or quality assurance for AI pipelines.
• Familiarity with large-scale data platforms, secure data handling, and operational monitoring.

Responsibilities

• Oversee the creation, evolution, and enforcement of development and operational standards across AI Studio.
• Define enterprise-wide frameworks for model lifecycle management, MLOps patterns, and development governance.
• Lead collaboration efforts with senior engineering, security, and product stakeholders to align standards with mission objectives.
• Provide authoritative guidance on architecture, governance, and compliance for Databricks-based AI workflows.
• Mentor team members and ensure uniform understanding and adoption of standards across the program.
• Implement and maintain engineering standards across AI Studio development workflows.
• Build repeatable templates, tools, and code assets that enforce consistency and quality across teams.
• Perform audits and reviews of notebooks, models, and pipelines to validate compliance with standards.
• Assist in documenting and disseminating technical guidance for development teams.
• Support automation of quality checks, linting, model validation, and environment consistency within Databricks.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed