We are expanding our Responsible AI team and seeking an experienced RAI Engineer with leadership skills and a background in ethical AI practices. You will lead efforts to build and deploy state-of-the-art AI models, addressing dimensions such as fairness, transparency, explainability, robustness, and privacy.
Responsibilities
- Lead the development and implementation of AI models and solutions, focusing on ethical and responsible practices.
- Detect, evaluate, and apply relevant Responsible AI dimensions in AI systems; mitigate identified risks.
- Support client sales conversations, proposal preparation, and project management related to Responsible AI solutions.
- Optimize and maintain existing AI systems for enhanced performance and ethical standards compliance.
- Oversee the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
- Contribute to internal guidelines, best practices, and technical training for Responsible AI development.
- Stay updated with AI trends, ethical considerations, and technological advancements.
- Identify and correct biases in datasets and AI models; ensure transparent documentation of AI development processes.
Requirements
- Minimum of 6 years of experience in developing and deploying machine learning models and AI solutions.
- Proficiency in programming languages like Python, R, or Java; familiarity with AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Hadoop, Spark), database management, and data processing.
- Understanding of cloud services and platforms related to AI (e.g., AWS, Azure, Google Cloud).
- Strong analytical and problem-solving skills; ability to work with complex datasets.
- Bachelor’s degree or college diploma in Computer Science, Artificial Intelligence, Data Science, or related fields.
Professional Skills Requirement
- Strong leadership, communication, and collaboration skills.
- Commitment to ethical AI development and continuous learning.
- 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
- Additional courses or training in responsible AI, ethics in technology, or related fields.
- Certifications in AI, machine learning, or data science.
- Prior experience in projects focused on ethical AI or AI for social good.
- Knowledge of AI ethics, data privacy, and regulatory frameworks.
- Experience with AI model interpretability and explainability tools.
- Project management experience.
- Proficiency in a language other than English to a reasonable business level.
Compensation and Benefits
Accenture offers competitive compensation, including a salary range dependent on factors such as location, role, skill set, and experience level. Benefits include comprehensive healthcare, retirement plans, and professional development opportunities.
Join Us
If you are passionate about leading Responsible AI initiatives that drive positive impact while ensuring ethical practices, we encourage you to apply. Help us shape the future of AI responsibly at Accenture.
Apply. Interested candidates can submit their resumes to [Email Address].