Guidehouse

AI Standards Engineer

Guidehouse$85K — $141K *
US-Anywhere
+ 3 other locationsRemote
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI/ML development within secure enterprise environments
  • Strong familiarity with Databricks and its components
  • Hands-on experience with CI/CD and version control processes
  • Ability to design and enforce engineering and operational standards
  • Experience in model governance and lifecycle management
  • Strong collaboration skills with cross-functional teams
  • Active Secret clearance required

Responsibilities

  • Define and enforce engineering and operational standards for AI Studio
  • Collaborate with engineering and security teams to align standards with mission needs
  • Develop enterprise-wide frameworks for model lifecycle management
  • Perform code reviews for AI/ML projects to ensure adherence to established standards
  • Create documentation, checklists, and audit mechanisms for compliance
  • Mentor team members on best practices and standards
  • Support automation efforts for quality checks and workflow processes

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Tuition Reimbursement and personal development opportunities
  • Student Loan PayDown program
  • Emergency Back-Up Childcare Program
Full 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

About Guidehouse

Guidehouse is a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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