Artificial Intelligence is transforming the world—opening doors to innovation while presenting new challenges. At Accenture’s Global Responsible AI team, we help organizations harness AI’s power responsibly. From building trust and accountability into AI systems to navigating complex ethical and regulatory landscapes, we’re at the forefront of shaping Responsible AI solutions that create lasting impact.
Our work spans policy engagement, pioneering research with academia, and the creation of cutting-edge tools like the Responsible AI Academy. Together, we turn AI’s risks into opportunities for our clients.
The Role: Responsible AI Engineer
We’re seeking passionate problem solvers who thrive at the intersection of technology and ethics. As a Responsible AI Engineer, you’ll develop state-of-the-art AI models while ensuring fairness, transparency, and accountability in every solution. If you’re excited about creating ethical, inclusive, and technically sound AI systems, this is the role for you.
Your Impact:
As a key member of the Responsible AI team, you’ll:
- Innovate responsibly: Design, build, and implement AI models and solutions that prioritize fairness, transparency, explainability, robustness, and privacy.
- Mitigate risks: Detect, evaluate, and address potential ethical risks in AI systems while crafting solutions to reduce them.
- Collaborate and inspire: Work alongside industry leaders, engaging clients in sales conversations and delivering best-in-class Responsible AI solutions.
- Optimize performance: Enhance AI systems for better outcomes while ensuring compliance with ethical standards.
- Shape the industry: Develop internal guidelines, technical training, and best practices for Responsible AI development.
- Stay ahead: Keep pace with emerging AI trends, regulations, and innovations to future-proof client solutions.
What You Bring:
- Technical expertise: At least 5 years of experience developing AI solutions using algorithms like regression, deep learning, NLP, and computer vision, as well as frameworks such as TensorFlow and PyTorch.
- Cloud proficiency: 4+ years of experience with cloud platforms like AWS, Azure, or Google Cloud.
- Responsible AI experience: 2+ years addressing AI risks such as bias, fairness, and explainability using relevant tools.
- Strong foundations: A bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields (or equivalent experience).
- Soft skills: Exceptional problem-solving abilities, teamwork, and communication skills, along with a commitment to ethical AI development.
Bonus Points for:
- Knowledge of data and AI regulations.
- Hands-on experience with Generative AI (prompt engineering, fine-tuning, or RAG models).
- Industry-specific expertise (e.g., healthcare, financial services, or retail).
- Cloud certifications (AWS, Azure, Databricks).
- Responsible AI certifications (e.g., AIPP).
What’s in It for You?
- Purpose-driven work: Join a team committed to making AI equitable, transparent, and inclusive.
- Global impact: Collaborate with top organizations, policy makers, and thought leaders to shape the future of Responsible AI.
- Limitless growth: Leverage Accenture’s world-class resources and support for career advancement.
- Flexibility and balance: Thrive in a hybrid work environment with competitive pay, benefits, and opportunities to travel (as needed).
About Accenture:
At Accenture, inclusion and diversity are at the heart of who we are. We believe innovation thrives when everyone belongs. We’re proud to be an Equal Opportunity Employer, offering reasonable accommodations and fostering an environment where differences are celebrated.
