[Remote] AI Standards Engineer
Note: The job is a remote job and is open to candidates in USA. Guidehouse is seeking an AI Standards Engineer to support AI Studio development in a secure, enterprise-scale environment. The role will establish and enforce engineering, quality, operational, governance, and compliance standards for AI/ML workflows, while collaborating with development, MLOps, data engineering, security, and product teams. The engineer will also support Databricks-based platforms, audits, documentation, automation, and model lifecycle management.
Responsibilities
- 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
- 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
Skills
- • 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
- • 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
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