AI Engineer

Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful, and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built, and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities.

The risks of AI are real and well‑known.

Let’s help our clients turn those risks into opportunities.

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.

• 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.

• 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, Tensor Flow, 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., Git Hub, Bitbucket).
  • Experience with database management and data processing.
  • Unde…