AI/ML Strategist

Requirements

• 4 years of experience designing and implementing AI/ML governance frameworks for enterprise-scale environments.
• Demonstrated expertise with responsible AI practices, model risk management, and regulatory compliance.
• Bachelor's degree (or an additional 4 years equivalent experience)
• Meet DoD 8140 requirements
• Security Clearance:
• Active TS Clearance
• The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
• $116,900 - $243,100 USD
• What We Believe
• Equal Employment Opportunity Statement
• Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals

Benefits

Additional Information

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Description: The AI/ML Strategist will implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier-4 governance support. Ensure responsible AI practices throughout the organization. Develop and enforce policies for model development, validation, and deployment, establish review and approval processes for AI/ML models, and implement access controls for model APIs and services. Create and maintain model inventories and documentation, develop standards for model performance monitoring and evaluation, and establish procedures for model updates and versioning. Ensure compliance with ethical AI principles and regulatory requirements, coordinate with security teams to implement model security controls, and develop frameworks for identifying and mitigating AI bias. Lead model governance committee activities, create metrics and reports on model governance compliance, and provide guidance on responsible AI best practices. Evaluate and implement tools for model governance and compliance, train teams on model governance procedures, and collaborate with legal and compliance teams on AI/ML risk management.

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