Featured AI Job: Responsible AI Engineer/Associate Manager, Accenture, Denver (Hybrid)

About the Role

Accenture’s Global Responsible AI team is part of its Global Data & AI Practice. The team works 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. As a Responsible AI Engineer, you will help embed responsibility into all data and AI activities, develop differentiated IP and solutions with ecosystem partners, engage with regulators, and contribute to pioneering research and training through the Responsible AI Academy.

Responsibilities

• Develop and implement AI models and solutions, focusing on ethical and responsible practices.
• Detect, evaluate, and apply relevant Responsible AI dimensions (bias, fairness, robustness, explainability, etc.) in AI systems; mitigate identified risks.
• Support client sales conversations and optimize existing AI systems for enhanced performance and adherence to ethical standards.
• Participate in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
• Contribute to the development of internal guidelines, best practices for responsible AI development, and technical training.
• Stay updated with current AI trends, ethical considerations, and technological advancements.
• Document AI development processes and maintain a transparent record of decisions and methodologies used.

Travel may be required for this role, ranging from 0 to 100% depending on business need and client requirements.

Requirements

• Minimum of 5 years of experience in developing and deploying machine learning models and AI solutions (using algorithms such as Regression, Neural Networks, Tree Ensembles, Deep Learning, Natural Language Processing, Text Mining, Computer Vision).
• Minimum of 5 years of experience developing in Python and working with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Minimum of 4 years of experience with cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.
• Minimum of 2 years of experience with Responsible AI (testing AI solutions for risks and relevant technical tools).
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical field, or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years of work experience).

Skills

• 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.

Preferred Qualifications

• Knowledge of emerging data and AI regulations and standards.
• Experience using and building GenAI solutions (via prompt engineering, RAG models, fine-tuning, etc.).
• Experience designing and implementing GenAI/AI solution technical architectures on cloud platforms.
• Experience with cybersecurity and red teaming practices.
• Specialization in an industry (Healthcare, Life Sciences, Communications, Retail, Financial Services, etc.).
• Cloud Certification from leading providers (AWS, Google, Azure, Databricks, etc.).
• Responsible AI certification from reputable organizations (AIPP, etc.).