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Responsible AI Technology Architecture Senior Manager

Accenture

Accenture

Software Engineering, IT, Data Science
Posted on Thursday, June 6, 2024
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 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 bring diverse expertise in monitoring AI systems, machine learning model risk management, and applying regulatory requirements to frameworks and technical tools Some of the areas ...

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.

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:

  • Leading the architecture and design of ethical AI systems, ensuring compliance with relevant regulations, organizational policies using the required tools and technologies. Supporting client sales conversations and proposal preparation

  • Collaborating with cross-functional teams to design the integrations with existing data & AI platforms and workflows on cloud.

  • Designing, and guiding the team on best practices and architectural guidelines for AI model development, testing, deployment, and monitoring; including helping define, build and roll out our internal Responsible AI tools and assets.

  • Architecting the regular audits of AI systems to identify and mitigate biases, ensuring fairness and transparency.

  • Spearheading Responsible AI related technology thought leadership and PoV, staying abreast of emerging technologies.

  • Providing technical leadership and mentorship to AI development teams, & development and delivery of Responsible AI technical training.

  • Facilitating communication between technical and non-technical stakeholders regarding AI projects and their impact.

  • Supporting the evaluation of third-party Responsible AI tools and frameworks

  • Architecting and solutioning AI project lifecycle - from conception through to deployment and maintenance.

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:

Minimum of 8 years of experience in:

  • Architectural experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services

  • Proficiency in AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).

  • Strong programming skills in languages such as Python, R, or Java.

  • Experience with big data technologies (e.g., Hadoop, Spark) and database management systems.

  • Specific technology domain areas experience in at least one of: software development, cloud computing, systems engineering, data & analytics.

  • Knowledge of ethical AI principles, data privacy laws, and regulatory requirements.

  • Proven track record in leading and delivering complex AI projects.

  • Experience in implementing AI solutions in large-scale, enterprise environments.

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Professional Skills Requirements:

  • Strong leadership and team management skills.

  • Excellent problem-solving and analytical abilities.

  • Effective communication skills, capable of conveying complex AI concepts to diverse audiences.

  • Commitment to ethical AI practices and continuous learning.

  • Ability to work under pressure and manage multiple projects simultaneously.

Bonus Points If You Have:

  • Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields are beneficial.

  • Certifications in AI, machine learning, or related fields.

  • Experience with Data & AI in specific domains (e.g., healthcare, finance, retail).

  • Familiarity with AI model explainability and interpretability tools.

  • Understanding of MLOps, LLMOps and DevOps practices, including CI/CD pipelines, for AI systems.

  • Containerization capabilities such as Docker and Kubernetes.

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

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $131,100 to $336,900

Colorado $131,100 to $291,100

New York $121,400 to $336,900

Washington $139,600 to $309,900

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New York City, NY,Arlington, VA,Atlanta, GA,Austin, TX,Beaverton, OR,Bentonville, AR,Boston, MA,Broomfield, CO,Carmel, IN,Charlotte, NC,Chicago, IL,Cincinnati, OH,Cleveland, OH,Columbus, OH,Des Moines, IA,Detroit, MI,Florham Park, NJ,Hartford, CT,Houston, TX,Irving, TX,Los Angeles, CA,Miami, FL,Milwaukee, WI,Minneapolis, MN,Mountain View, CA,Nashville, TN,Oklahoma City, OK,Overland Park, KS,Philadelphia, PA,Phoenix, AZ,Pittsburgh, PA,Raleigh, NC,Sacramento, CA,San Diego, CA,San Francisco, CA,Seattle, WA,St. Louis, MO,St. Petersburg, FL,Walnut Creek, CA

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