EY AI & Data - Responsible RAI Senior US Consulting 

United States, New York, New York 

374000954

Responsible AI (RAI)

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Come help define the future of AI while adhering to ethical, compliance and regulatory requirements.

Your key responsibilities

As a Responsible AI Senior Consultant, you will work as part of a team with the opportunity to lead day-to-day delivery of projects, with a wide variety of clients to define, develop and operationalize their AI strategy, governance and risk management framework, ModelOps architecture and other capabilities adhering to their internal enterprise level policies and procedures and required regulatory compliance and security requirements.

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.

• Strong analytical and decision-making skills to guide project direction.

• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.
• Ability to understand our Responsible AI Principles and distill it to actionable practices for clients
• Applying risk management knowledge to help identify, assess and mitigate risks throughout the AI development lifecycle.
• Collaborating with clients to understand their business context and develop recommendations to meet their regulatory requirements related to AI
• Perform assessments over AI systems and models developed by clients to determine their compliance with organizational policies and/or regulatory requirements and standards
• Seeking out information to learn about emerging methodologies and technologies
• Clarifying problems by driving to understand the true issue
• Looking for opportunities for improving methods and outcomes

To qualify for the role, you must have

• Bachelor’s degree required (4-year degree) degree in Mathematics, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Typically, no less than 2 - 4 years relevant experience.
• 3-6 years of experience in AI risk management, AI Governance, Responsible AI, AI and/or Machine Learning development
• Extensive experience inAI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications
• Strong data science and/or data engineering experience
• Ability to stay updated with industry trends and AI regulatory requirements and quickly adapt to new technologies.
• Deep understanding of model performance measurement metrics, including specific techniques and platforms used to monitor and manage model performance
• A solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, transforming data and evaluating results to make meaningful predictions.
• Proficiency in deep learning techniques.
• Strong foundation in mathematics, statistics, and operations research.
• Experience with machine learning algorithms and data architecture design.
• Familiarity with cloud computing and technical design optimization.
• Knowledge of natural language processing and image processing techniques.
• Understanding of continuous integration and deployment methodologies.
• Experience in scaling models for various applications.
• Experience designing, implementing or assessing AI Governance Frameworks, AI Risk Management Frameworks and Standards
• Proficiency in model testing, evaluation, validation and verification techniques
• Experience developing detailed technical documentation for AI systems
• Knowledge in prevalent AI specific regulations such as EU AI Act as well as standards and frameworks such as NIST AI RMF and ISO 42001
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative fields.
• Certifications in relevant areas such as AI ethics, data ethics, Responsible AI and data protection
• Experience in hybrid collaboration and emotional agility.
• A track record of driving outcomes through complex problem-solving.
• Knowledge of sustainability practices in technology.
• Experience with CI/CD and test-driven development.
• Experience designing, building, and maintaining ML models, frameworks, and pipelines.
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Strong skills in languages including Python and R
• Experience fine-tuning Generative AI models.