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Accenture

*RAI Specialist*

Posted Yesterday
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In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
Deliver Responsible AI services by designing, deploying, and monitoring AI/ML systems with attention to fairness, explainability, robustness, privacy and security. Work with cloud platforms, MLOps/LLMOps/DevOps, cross-functional teams, and clients to convert regulations and ethical requirements into technical specifications, tools, and best practices.
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About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 791,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™. Join Accenture to work at the heart of change.

Visit us at www.accenture.com 

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 have experience with development or deployment of AI models/ systems with a focus on implementing the Responsible AI principles, we’d love to hear from you.

As a Responsible AI professional, you’ll be experienced in ensuring that AI systems for a range of use cases across industries are developed, implemented, and maintained in a way that mitigates risks associated with AI, along with focus on information and data security. 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 or hands-on live environment.

You’ll bring diverse expertise in deploying and 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.

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:

  • Provide and implement actionable recommendations for effective use of AI technologies to enhance customer experience, bring in operational efficiencies and mitigating AI related risks

  • Configuring, deploying and monitoring AI systems on cloud and on-premise environments

  • Focusing on range of industry use cases using AI systems while being able to identify and mitigate responsible AI dimensions like – bias, fairness, robustness, model security, data security etc. 

  • Working with cyber and information security teams, considering internal and external obligations required for solutions focused on mitigating fraud and scams

  • Facilitating communication between technical and non-technical stakeholders regarding AI projects and their impact on the applicable business value and risks

  • Designing, developing, and deploying AI Operations tools and frameworks – MLOps, LLMOps and DevOps

  • Working with the functional teams to convert the business meaning of RAI laws, regulations and ethical standards to technical specifications and requirements

  • Contributing to the development of internal guidelines and best practices for responsible AI deployment and monitoring

  • Staying updated with current AI trends, ethical considerations, evolving threats, and technological advancements in the space

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

  • Experience: 2-5 years

  • Experience in designing, developing and deploying machine learning models and AI solutions.

  • Ability to work with complex datasets and perform data preprocessing and analysis.

  • Experience in implementing Responsible AI principles such as Fairness, Transparency, Explainability, Sustainability, as well as data privacy laws, and regulatory requirements.

  • Experience in working on cloud (AWS, Azure, GCP) and on Data & AI technologies.

  • Knowledge of standard IT operations including MLOps, LLMOps and DevOps.

  • Familiarity with cloud deployment and monitoring functions

  • 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.

  • 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.

  • 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.

  • Linguistic proficiency (to a reasonable business level) in a language other than English

Salary Range: $70,000 - $95,000 AUD

Accenture Progressive Employee Benefits

To view our Progressive Employee Benefits covering Health, Wellbeing, Progressive Leave Options, Sustainability click on the link below.

Progressive Employee Benefits – Australia

Equal Employment Opportunity Statement for Australia and New Zealand:

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. 

We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to [email protected] or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand). 

Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

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About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement for Australia:

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. 
As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.

 
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email 
[email protected] and cite the relevant Job Number, or contact us on +61 2 9005 5000.
Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our 
Privacy Statement


Top Skills

AWS
Azure
Cloud Deployment
Data & Ai Technologies
DevOps
GCP
Llmops
Machine Learning
Mlops
Monitoring

Accenture Sydney, New South Wales, AUS Office

Level 4/55 Clarence St, Sydney, NSW, Australia, 2000

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