We are:
Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful, and more accessible. With these new opportunities come increased risks. We work 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. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture's data and AI activities. We're developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We'll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well-known. Let's help our clients turn those risks into opportunities.
You are:
We're looking to grow our Responsible AI team and if you're experienced in Monitoring & Compliance with a Responsible AI background, we'd love to hear from you.
As a Responsible AI Monitoring & Compliance professional, you'll be experienced in ensuring that AI systems are developed, implemented, and maintained in a way that mitigates risks associated with AI. But you'll also have at least a year's experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy - preferably gained in a client-facing environment(if in the markets. Review if ATCi).
You'll bring diverse expertise in monitoring AI systems, machine learning model risk management, and applying regulatory requirements to frameworks and technical tools. You'll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues - our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively - to make sure AI technology is used equitably and in a way that is both ethically and technically sound.
The work:
You'll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas you'll be working in include:
- Configuring, deploying and monitoring AI systems on cloud and on-premise environments
- Focusing on monitoring the AI systems to identify and mitigate responsible AI dimensions like - bias, fairness, robustness, model security, data security etc.
- Designing, developing, and deploying AI Operations tools and frameworks - MLOps, LLMOps and DevOps
- Setting up systems to detect the RAI related anomalies in data or AI; monitor and send alerts as needed
- Optimizing and maintaining existing AI systems to follow local RAI laws, regulations and technical guidelines
- Working with the functional teams to convert the business meaning of RAI laws, regulations and ethical standards to technology
- Contributing to the development of internal guidelines and best practices for responsible AI deployment and monitoring
- Staying updated with current AI trends, ethical considerations, and technological advancements
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here's What You Need:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
- Manager experience: 6-8 years
- Senior Manager: 8-10 years
- Experience in designing, developing and deploying machine learning models and AI solutions. Knowledge of model risk and experience in Model Risk Management. Experience auditing risk functions
- Experience in working on cloud (AWS, Azure, GCP) and on Data & AI technologies.
- Proficiency in programming languages like Python, R, or Java.
- Knowledge of standard IT operations including MLOps, LLMOps and DevOps.
- Familiarity with cloud deployment (infrastructure as code) and monitoring functions (ex: Cloud watch on AWS).
- Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a team environment and communicate effectively with team members. Ability to independently prioritize efforts based on situational awareness.
- 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.
Bonus Points If You Have:
- Strong focus on courses or training in areas related to responsible AI, ethics in technology, or similar fields are beneficial.
- Certifications in AI, machine learning, risk & compliance or data science.
- Business background on RAI principles, Ethical AI, laws and regulations
- Prior experience in projects focused on ethical AI or AI for social good.
- Knowledge of RAI laws, regulations and the ability to interpret and apply using technologies.
- Knowledge of AI ethics, data privacy, and regulatory frameworks.
- Experience with AI model interpretability and explainability tools.
- Linguistic proficiency (to a reasonable business level) in a language other than English
