Responsible AI Technology Architecture Manager Full-time

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 offering 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 Technology & Architecture with a Responsible AI background, we’d love to hear from you.

As a Responsible AI Technology & Architecture professional, you’ll be experienced in building state-of-the-art 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 bring diverse expertise in architecture, software development and data engineering with specialization in RAI. 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:

• 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
• 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.
• 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

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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