AI Standards Engineer

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🔥 0 minutes ago

🏛️ District of Columbia, Virginia, +1 more states – Remote

🏛️ District of Columbia – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $85k - $141k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Define, implement, and maintain engineering, quality, and operational standards supporting AI Studio development in a secure enterprise-scale environment • Ensure AI solutions follow best practices for reliability, scalability, model lifecycle governance, and responsible AI • Collaborate with development, MLOps, data engineering, and product teams to align standards with mission and technical requirements • Support integration and standardization across Advana platforms, including Databricks workflows, model development pipelines, and data engineering patterns • Develop documentation, checklists, engineering playbooks, and audit mechanisms enforcing approved standards • Guide and review AI/ML code, notebooks, models, and CI/CD pipelines • Help deliver work proposed in the associated RFP through repeatable, compliant, high-quality processes • Oversee creation, evolution, and enforcement of AI Studio standards • Define frameworks for model lifecycle management, MLOps patterns, and development governance • Lead alignment with senior engineering, security, and product stakeholders • Provide architecture, governance, and compliance guidance for Databricks-based AI workflows • Mentor team members and promote adoption of standards • Build reusable templates, tools, and code assets • Audit notebooks, models, and pipelines for compliance • Support automation of quality checks, linting, model validation, and environment consistency within Databricks

🎯 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 • Ability to collaborate across cross-functional technical and mission teams • Active Secret clearance required • Experience supporting DoD or federal data/AI programs preferred • Knowledge of responsible AI principles and compliance frameworks preferred • Experience with automated testing, linting, or quality assurance for AI pipelines preferred • Familiarity with large-scale data platforms, secure data handling, and operational monitoring preferred

🏖️ 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 • Flexible benefits package