AI Standards Engineer

US101 Guidehouse Inc.; Washington (District of Columbia); On-site; USD 85,000 - 141,000; Full time

Benefits offered by this job

Medical Insurance

Retirement Plan

Paid Holidays

Mobility Stipend

Professional development

Job summary

Guidehouse is seeking a data engineering and AI standards lead to define and enforce enterprise-wide AI/ML development and governance. You will oversee model lifecycle patterns, MLOps practices, and security-compliant data workflows within Databricks environments.

You will mentor engineers, collaborate with security, product, and mission stakeholders, and ensure alignment with DoD/federal program requirements while delivering high-quality, auditable AI solutions.

Qualifications

• 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.

Responsibilities

• Define, implement, and maintain engineering, quality, and operational standards for AI Studio development within a secure, enterprise-scale environment.
• Ensure 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 standards.
• Provide guidance and review for AI/ML code, notebooks, models, and CI/CD pipelines to ensure consistency with established frameworks.
• Contribute to the successful execution of work proposed in the associated RFP submission with repeatable, compliant delivery processes.

Skills

AI/ML standards

Cross-functional collaboration

Model governance

Security clearance

Tools

Databricks

CI/CD pipelines

MLOps

Notebook audits

Job description

Job Family: Data Engineering & Architecture Consulting

Travel Required: Up to 10%

Clearance Required: Active Secret

What You Will Do

• 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.

Responsibilities

AI Studio Standards - Lead

• 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.

AI Studio Standards - Engineer

• 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.

What You Will Need

• 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.

What Would Be Nice To Have

• 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.

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

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 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.