You are:

We're looking to grow our Responsible AI team and if you're an experienced RAI Engineer with a Responsible AI background, we'd love to hear from you.

As a Responsible AI Engineer, you'll be experienced in building state of the art AI systems to solve difficult business challenges. But you'll also have at least a year's experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy - preferably gained in a client-facing environment.

You'll be a problem solver who is passionate about all things data. You'll be excited by difficult modelling challenges, and you'll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. You'll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.

At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues - our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively - to make sure AI technology is used equitably and in a way that is both ethically and technically sound.

The work:

You'll be a key player, helping to deliver outstanding work for our Responsible AI clients. Some of the areas you'll be working in include:

• 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.

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

Here's What You Need:

• 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 from the following:
  
  • 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 of 3 years of experience in the following:
  
  • Proficiency in programming languages like Python, R, or Java.
  • Familiarity with AI and machine learning frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch).
  • 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.

Professional Skills Requirement

• 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

Bonus Points if you have

• Managerial experience leading teams
• Experience in big data technologies and tools (e.g., Hadoop, Spark).

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range
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