Responsible AI Engineer at Accenture | AR, US | Rezi

Responsible AI Engineer at Accenture

Responsible AI Engineer

Accenture · AR, US

Yesterday

Responsible AI Engineer

Accenture · AR, US

a day ago
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About the Role

Accenture's Global Responsible AI team is seeking an experienced RAI Engineer with a background in Responsible AI to help leading organizations ensure AI is designed, built, and deployed ethically and responsibly. This role involves developing and implementing AI systems, focusing on fairness, transparency, explainability, robustness, and privacy, while mitigating risks and supporting client sales.

Responsibilities

  • Developing and implementing AI models and solutions, focusing on ethical and responsible practices.
  • Detecting, evaluating, and applying relevant RAI dimensions (bias, fairness, robustness explainability etc.) in AI systems; work on mitigating the identified risks.
  • Supporting client sales conversations and proposal preparation.
  • Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
  • Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
  • Contributing to the development of internal guidelines, best practices for responsible AI development and technical training.
  • Staying updated with current AI trends, ethical considerations, and technological advancements.
  • Assisting in the identification and correction of biases in datasets and AI models.
  • Documenting AI development processes and maintaining a transparent record of decisions and methodologies used.

Requirements

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields OR equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).
  • Minimum of 3 years of experience in developing and evaluating machine learning models and AI solutions.
  • At least 2 years of experience in Statistics and Probability Theory, Regression Modelling, Clustering Methods, Time Series Forecasting, Tree Ensembles, Deep Learning, Neural Networks, Generative AI, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, or Machine Learning Visualization Tools.
  • Minimum of 3 years of experience in programming languages like Python, R, or Java.
  • Familiarity with AI and machine learning frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch).
  • Experience with Rapid API development with standard frameworks and tools (E.g. Django, Flask, or FastAPI).
  • Fundamental version control practices and proficiency in version control platforms (e.g. GitHub, Bitbucket, etc).
  • Experience with database management and data processing.
  • Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, or Google Cloud) related to AI.
  • Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.
  • Strong problem-solving and analytical skills.
  • Ability to work collaboratively in a team environment and communicate effectively with team members.
  • Commitment to ethical AI development and continuous learning in the field.
  • Ability to manage multiple projects and priorities in a fast-paced environment.
  • Excellent documentation and presentation skills for technical and non-technical audiences.

Skills

  • Responsible AI
  • AI model Fairness
  • AI model Transparency
  • AI model Explainability
  • AI model Robustness
  • AI model Privacy
  • Python
  • R
  • Java
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Django
  • Flask
  • FastAPI
  • GitHub
  • Bitbucket
  • AWS
  • Azure
  • Google Cloud
  • Big data technologies
  • Hadoop
  • Spark

Location

  • California
  • Cleveland
  • Colorado
  • District of Columbia
  • Illinois
  • Maryland
  • Massachusetts
  • Minnesota
  • New York
  • New Jersey
  • Washington

Work Type

  • Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Experience Level

  • Minimum of 3 years of experience in developing and evaluating machine learning models and AI solutions.
  • At least 1 year's experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy
  • Managerial experience leading teams (Bonus)

Education Level

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields OR equivalent (minimum 12 years) work experience.
  • Associate’s Degree (minimum 6 years work experience)

Salary/Compensations

  • California $73,800 to $220,400
  • Cleveland $68,300 to $176,300
  • Colorado $73,800 to $190,400
  • District of Columbia $78,500 to $202,700
  • Illinois $68,300 to $190,400
  • Maryland $73,800 to $190,400
  • Massachusetts $73,800 to $202,700
  • Minnesota $73,800 to $190,400
  • New York $68,300 to $220,400
  • New Jersey $78,500 to $220,400
  • Washington $80,200 to $202,700

Benefits

  • Medical, dental, vision, life, and long-term disability coverage
  • 401(k) plan
  • Bonus opportunities
  • Paid holidays
  • Paid time off

About the Company

  • Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
  • We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
  • We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
  • Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
  • We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Equal Opportunity

  • We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization.
  • As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
  • Inclusion and diversity are fundamental to our culture and core values.
  • Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
  • We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
  • Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
  • Accenture is committed to providing veteran employment opportunities to our service men and women.