Make more Creative Job Post Content< Responsible AI Technical Strategy
- Responsibilities:
As AI continues to revolutionize industries, it’s essential that we harness its power with a sense of responsibility. At Accenture, we’re not just building groundbreaking technologies – we’re ensuring that AI is developed, deployed, and utilized ethically, sustainably, and inclusively. Our Responsible AI Technical Strategy team is at the forefront of this transformation, and we’re looking for a dynamic Responsible AI Engineer to help us lead the charge.
Why Accenture?
AI is everywhere – it’s changing the way businesses operate, solve complex challenges, and serve customers. But with its great potential comes equally great responsibility. At Accenture, we’re committed to embedding responsibility into all our data and AI activities. Our Responsible AI strategy involves not only building AI solutions but also guiding organizations through the ethical implications of AI. We engage with regulators, conduct cutting-edge research, and deliver specialized training through our Responsible AI Academy.
If you're passionate about shaping the future of AI and ensuring its benefits are distributed ethically and equitably, this is the place for you.
What You'll Do:
As a Responsible AI Engineer, you’ll be a driving force in helping our clients embrace AI in a responsible manner. You’ll be responsible for creating AI models and solutions that adhere to ethical principles, enhancing trust in AI systems across industries.
Key Responsibilities:
- Design Ethical AI Models: Develop and implement AI solutions while ensuring that fairness, transparency, robustness, and privacy are prioritized.
- Risk Mitigation: Detect, evaluate, and mitigate risks related to AI, including biases and fairness concerns, ensuring solutions align with ethical standards.
- Lifecycle Management: Participate in the full development cycle – from data preparation and design to coding, testing, deployment, and support.
- Client Engagement: Support client sales conversations by articulating how Responsible AI practices can transform their business strategies.
- Continuous Learning: Stay at the cutting edge of AI trends, ethical guidelines, and technological advancements to inform our solutions and industry leadership.
- Documentation & Transparency: Maintain clear records of AI development processes, methodologies, and decision-making to promote transparency.
What You Need:
Minimum Qualifications:
- 5+ years of experience in developing AI and ML models using algorithms like Regression, Deep Learning, NLP, and more.
- 5+ years of hands-on experience in Python and working with popular frameworks like TensorFlow and PyTorch.
- 4+ years of experience working with cloud services (AWS, Azure, Google Cloud) for AI/ML applications.
- 2+ years of experience focusing on Responsible AI, including testing AI solutions for fairness, explainability, and other ethical risks.
- A Bachelor’s degree in Computer Science, Data Science, AI, or related fields (or equivalent experience).
Preferred Qualifications:
- Familiarity with emerging AI regulations and standards.
- Experience building Generative AI (GenAI) solutions or developing AI architectures on cloud platforms.
- Knowledge in cybersecurity and red teaming practices.
- Specialization in an industry (Healthcare, Retail, Financial Services, etc.).
- Certifications in AI/ML, cloud platforms, or Responsible AI (e.g., AIPP).
Why You’ll Love Working Here:
At Accenture, we value diversity and inclusion and believe that the best work comes from bringing together diverse perspectives. We foster an inclusive culture where everyone is encouraged to bring their whole self to work. As part of our Responsible AI team, you’ll have the opportunity to not only build innovative AI solutions but also shape the future of how organizations engage with AI ethically.
Perks and Benefits:
- Competitive Salary: Compensation varies based on factors such as location, experience, and expertise.
- Comprehensive Benefits: We offer a wide range of benefits, including health, dental, vision, 401(k), and professional development opportunities.
- Growth Opportunities: As part of our Global Data & AI Practice, you’ll work with industry leaders, cutting-edge technologies, and participate in groundbreaking research.
Locations & Compensation:
We offer competitive compensation packages based on role, experience, and location. Our annual salary range varies across the U.S., including locations like California, Colorado, New York, and Washington, ranging from $68,300 to $220,400, with eligibility for discretionary incentives.
