Ernst & Young

Location: Anywhere in Country

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Technology – Data and Decision Science – AI Native Engineering – Senior

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.

The opportunity

EY is significantly investing in their award-winning AI & Data practice. You will work with teams to help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes in a responsible manner. In addition, your teams will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will help our clients navigate AI governance and risk management challenges by working with interdisciplinary teams. You will have the opportunity to expand your knowledge on risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area with plenty of opportunities to enhance your skillset and build your career.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

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.

You will be joining a dynamic and interdisciplinary team of scientists, engineers, business and risk professionals who love to tackle the most challenging scalability problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities.

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 in AI 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.

What we look for

We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and driven by a desire to make a significant impact in the field of artificial intelligence. We want a customer-focused professional who is motivated to drive the creation of enterprise solutions and who can collaborate and partner with diverse teams. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

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