AI Standards Engineer

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.

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