Responsible AI Engineer Specialist

This Responsible AI Engineer Specialist role sits within Accenture’s Global Responsible AI team, where the focus is on building and improving AI models using ethical and responsible practices. Based in Chicago, IL (onsite), the position supports model development, risk detection across responsible AI dimensions, and work that can extend to client-facing proposal efforts, with possible travel.

As part of a team that advances responsible AI, you will help apply and operationalize responsible AI principles throughout the AI lifecycle, from data preparation through testing, deployment, and support. You will also contribute to internal guidance and training, while keeping current with evolving AI trends, ethical considerations, and technical advancements.

Key Responsibilities

• Develop and implement AI models and solutions with an emphasis on ethical and responsible practices.
• Detect, evaluate, and apply relevant RAI (Responsible AI) dimensions, including bias, fairness, robustness, and explainability, and support mitigation of identified risks.
• Optimize and maintain existing AI systems to improve performance and support adherence to ethical standards.
• Participate in end-to-end AI development, including data preparation, design, coding, testing, deployment, and support.
• Contribute to internal guidelines, best practices for responsible AI development, and technical training.
• Stay current on AI trends, ethical considerations, and technological advancements.
• Assist with identifying and correcting biases in datasets and AI models.
• Document AI development processes and maintain transparent records of decisions and methodologies.

Required Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field (or equivalent). Minimum requirements include 12 years of work experience for an equivalent qualification; if an Associate’s Degree is held, then 6 years of work experience is required.
• Minimum 3 years of experience developing and evaluating machine learning models and AI solutions.
• At least 2 years of experience across the following (examples listed): 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; Machine Learning Visualization Tools.
• Minimum 3 years proficiency in programming languages such as Python, R, or Java.
• Minimum 3 years experience with AI and machine learning frameworks including Scikit-learn, TensorFlow, or PyTorch.
• Minimum 3 years experience in rapid API development with standard frameworks and tools such as Django, Flask, or FastAPI.
• Minimum 3 years experience with fundamental version control practices and proficiency in version control platforms such as GitHub and Bitbucket.
• Minimum 3 years experience with database management and data processing.
• Minimum 3 years experience working with cloud services and platforms related to AI, such as AWS, Azure, or Google Cloud.
• Minimum 3 years experience working with complex datasets, including data preprocessing and analysis.
• Strong problem-solving and analytical skills.
• Ability to collaborate in a team environment and communicate effectively with team members.
• Commitment to ethical AI development and continuous learning.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Excellent documentation and presentation skills for technical and non-technical audiences.

Technologies

• Python, R, Java
• Scikit-learn, TensorFlow, PyTorch
• Django, Flask, FastAPI
• GitHub, Bitbucket
• AWS, Azure, Google Cloud

Benefits

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

Bonus Points

• Managerial experience leading teams
• Experience with big data technologies and tools (for example, Hadoop, Spark)

Salary: USD 59,100 - 205,800 per year.