Responsible AI Tech Lead

Project Role : Responsible AI Tech Lead
Project Role Description : Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.
Must have skills : Docker Kubernetes Administration
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:

As a Responsible AI Tech Lead, a typical day involves overseeing the development and deployment of artificial intelligence solutions that prioritize ethical considerations and compliance with regulatory standards. This role requires guiding teams to integrate responsible AI principles into projects, facilitating collaboration across various departments, and championing the adoption of ethical AI practices throughout the organization. The position demands a proactive approach to leadership, ensuring that AI technologies are designed and implemented with a focus on transparency, fairness, and accountability, while continuously aligning with evolving industry standards and societal expectations.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead initiatives to promote ethical AI practices and ensure compliance with relevant regulations.
• Facilitate effective communication and collaboration between cross-functional teams to drive responsible AI adoption.
• Mentor junior team members to support their professional growth and understanding of responsible AI principles.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Docker Kubernetes Administration.
• Strong knowledge of container orchestration and management using Kubernetes.
• Experience in deploying and maintaining scalable AI solutions in cloud and on-premise environments.
• Ability to troubleshoot and optimize containerized applications for performance and reliability.
• Familiarity with security best practices in containerized environments to ensure compliance and data protection.
• Skilled in automating deployment pipelines and managing infrastructure as code.

Additional Information:

• The candidate should have minimum 7.5 years of experience in Docker Kubernetes Administration.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.

15 years full time education

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

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