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Responsible AI Engineer

at Accenture

Back to all Python jobs
Accenture logo
Consultancies

Responsible AI Engineer

at Accenture

GraduateNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
Not specified USD

Currency: $ (USD)

City
Not specified
Country
Not specified

Join Accenture's Global Responsible AI team to design, build, and deploy state-of-the-art AI systems with a focus on responsible practices such as fairness, transparency, explainability, robustness, and privacy. You’ll work on developing AI models and solutions, assess and mitigate risks, and support client sales conversations and proposal preparation. You’ll participate in the full AI development lifecycle—from data preparation and design to testing, deployment, and ongoing support—while contributing to internal guidelines and training. Travel may be required (0 to 100%) depending on business needs and client requirements.

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 an experienced RAI Engineer with a Responsible AI background, we’d love to hear from you.

As a Responsible AI Engineer, you’ll be experienced in building state of the art AI systems to solve difficult business challenges. 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.

You’ll be a problem solver who is passionate about all things data. You’ll be excited by difficult modelling challenges, and you’ll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. 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:

  • 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; work on mitigating the identified risks. Supporting client sales conversations and proposal preparation

  • 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, best practices for responsible AI development and technical training.

  • Staying updated with current AI trends, ethical considerations, and technological advancements.

  • Assisting in the identification and correction of biases in datasets and AI models.

  • Documenting AI development processes and maintaining a transparent record of decisions and methodologies used.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

    Responsible AI Engineer

    at Accenture

    Back to all Python jobs
    Accenture logo
    Consultancies

    Responsible AI Engineer

    at Accenture

    GraduateNo visa sponsorshipPython

    Posted 6 days ago

    No clicks

    Compensation
    Not specified USD

    Currency: $ (USD)

    City
    Not specified
    Country
    Not specified

    Join Accenture's Global Responsible AI team to design, build, and deploy state-of-the-art AI systems with a focus on responsible practices such as fairness, transparency, explainability, robustness, and privacy. You’ll work on developing AI models and solutions, assess and mitigate risks, and support client sales conversations and proposal preparation. You’ll participate in the full AI development lifecycle—from data preparation and design to testing, deployment, and ongoing support—while contributing to internal guidelines and training. Travel may be required (0 to 100%) depending on business needs and client requirements.

    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 an experienced RAI Engineer with a Responsible AI background, we’d love to hear from you.

    As a Responsible AI Engineer, you’ll be experienced in building state of the art AI systems to solve difficult business challenges. 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.

    You’ll be a problem solver who is passionate about all things data. You’ll be excited by difficult modelling challenges, and you’ll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. 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:

    • 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; work on mitigating the identified risks. Supporting client sales conversations and proposal preparation

    • 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, best practices for responsible AI development and technical training.

    • Staying updated with current AI trends, ethical considerations, and technological advancements.

    • Assisting in the identification and correction of biases in datasets and AI models.

    • Documenting AI development processes and maintaining a transparent record of decisions and methodologies used.

    Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

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