Accenture-posted about 1 year ago
$73,800 - $220,400/Yr
Full-time • Mid Level
Boston, MA
Professional, Scientific, and Technical Services

The Responsible AI Engineer role at Accenture's Global Responsible AI team involves developing and implementing AI models and solutions with a focus on ethical and responsible practices. The position requires a strong background in AI model development, particularly in aspects such as fairness, transparency, explainability, robustness, and privacy. The engineer will work collaboratively with clients to address complex business challenges while ensuring adherence to ethical standards in AI deployment.

  • 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; working on mitigating the identified risks.
  • Supporting client sales conversations.
  • 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 and best practices for responsible AI development and technical training.
  • Staying updated with current AI trends, ethical considerations, and technological advancements.
  • Documenting AI development processes and maintaining a transparent record of decisions and methodologies used.
  • 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 in developing in Python working in 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 AI risks and relevant technical tools).
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience.
  • Knowledge in emerging data and AI regulations and standards.
  • Experience using and building GenAI solutions (via prompt engineering, RAG models, or fine-tuning, etc.).
  • Experience with designing and implementing GenAI/AI Solution Technical Architectures on cloud platforms.
  • Experience with cybersecurity, red teaming practices, etc.
  • Specialization in an industry (Healthcare, Life Sciences, Communications, Retail, Financial services, etc.).
  • Cloud Certification from leading cloud providers (AWS, Google, Azure, Databricks, etc.).
  • Responsible AI certification from reputable organizations (AIPP, etc.).
  • Competitive salary based on location and experience.
  • Diversity and inclusion initiatives.
  • Professional development opportunities.
  • Flexible work arrangements.
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