Responsible AI Tech Lead
Accenture in India · Gurugram, Haryana, India
- On site
- Full-time
- $120,000 / year
- Gurugram, Haryana, India
Job highlights
- Lead Responsible AI initiatives and solutions.
- Ensure ethical AI principles and compliance.
- Collaborate with cross-functional teams.
- Design and deploy AI governance policies.
- Provide expert technical leadership.
About the role
Responsible AI Tech Lead
As a Responsible AI Tech Lead, you will ensure the ethical and responsible use of artificial intelligence technologies. Your typical day will involve designing and deploying Responsible AI solutions, aligning AI projects with ethical principles and regulatory requirements, and providing leadership to foster cross-functional collaboration. You will advocate for the adoption of ethical AI practices, ensuring that all AI initiatives are conducted with integrity and accountability, while also engaging with various stakeholders to promote a culture of responsible AI usage across the organization.
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.
- Expected to provide solutions to problems that apply across multiple teams.
- Facilitate training sessions to enhance team understanding of ethical AI practices.
- Monitor and evaluate the impact of AI solutions to ensure compliance with ethical standards.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Copilot Studio.
- Experience in Microsoft generative AI features in Copilot Studio.
- Strong understanding of ethical AI frameworks and guidelines.
- Experience in developing and implementing AI governance policies.
- Ability to analyze and interpret data to inform ethical decision-making.
- Familiarity with regulatory requirements related to AI technologies.
Additional Information:
- The candidate should have minimum 5 years’ experience in Microsoft AI stack, cognitive services, Azure AI search & Azure open AI, Microsoft Power Automate, experience integrating Microsoft virtual agents with channels like Teams, SharePoint, custom websites.
- This position is based at our Gurugram office.
- A 15 years full time education is required.
Key skills/competency:
- Responsible AI Tech Lead
- Microsoft Copilot Studio
- Microsoft BOT Framework
- Microsoft Azure OpenAI Service
- Ethical AI
- AI Governance
- Generative AI
- AI Solutions
- Cross-functional Collaboration
- Team Leadership
Skills & topics
- Responsible AI Tech Lead
- Microsoft Copilot Studio
- Microsoft BOT Framework
- Microsoft Azure OpenAI Service
- Ethical AI
- AI Governance
- Generative AI
- AI Solutions
- Microsoft AI Stack
- Accenture India
How to get hired
- Tailor your resume: Highlight your experience with Microsoft Copilot Studio and responsible AI.
- Showcase your expertise: Detail your knowledge of ethical AI frameworks and governance.
- Quantify your achievements: Provide examples of successful AI solution deployments and team leadership.
- Prepare for technical questions: Be ready to discuss Microsoft AI stack and Azure services.
- Research Accenture's values: Align your application with their commitment to responsible technology.
Technical preparation
Master Microsoft Copilot Studio features.,Understand Azure OpenAI Service capabilities.,Practice ethical AI framework implementation.,Prepare for AI governance policy discussions.
Behavioral questions
How do you ensure ethical AI?,Describe a complex team decision.,How do you handle AI compliance?,Share an AI solution leadership example.
Frequently asked questions
- What specific experience is required for the Responsible AI Tech Lead role at Accenture in India?
- The Responsible AI Tech Lead role at Accenture in India requires a minimum of 5 years of experience in the Microsoft AI stack, including Microsoft Copilot Studio, cognitive services, Azure AI search, Azure OpenAI, and Microsoft Power Automate. Experience integrating Microsoft virtual agents with various channels like Teams, SharePoint, and custom websites is also essential.
- What are the 'must-have' technical skills for this Accenture AI Lead position?
- The primary 'must-have' skill for the Responsible AI Tech Lead position at Accenture is proficiency in Microsoft Copilot Studio. Additionally, strong understanding of ethical AI frameworks, AI governance policies, and Microsoft generative AI features within Copilot Studio are critical.
- Does Accenture in India require a specific educational background for the Responsible AI Tech Lead role?
- Yes, Accenture in India requires candidates for the Responsible AI Tech Lead role to have a minimum of 15 years of full-time education. This ensures a strong foundational understanding relevant to the complex technical and ethical aspects of the role.
- What does 'Responsible AI' mean in the context of this Accenture Tech Lead role?
- In the context of this Accenture Tech Lead role, 'Responsible AI' means ensuring that AI technologies are developed and deployed ethically, aligning with principles and regulatory requirements. It involves designing solutions that are fair, transparent, accountable, and free from bias, fostering trust and integrity in AI adoption.
- What are the key responsibilities of a Responsible AI Tech Lead at Accenture?
- Key responsibilities include leading the design and deployment of Responsible AI solutions, ensuring AI projects adhere to ethical principles and regulations, providing leadership and fostering cross-functional collaboration, and advocating for ethical AI adoption across the organization. This also includes facilitating training and monitoring AI solution impacts.
- Is this Responsible AI Tech Lead position remote or on-site at Accenture?
- This Responsible AI Tech Lead position is based at Accenture's office in Gurugram, India, indicating an on-site or hybrid work arrangement at that specific location.
- What is the role of Microsoft Azure OpenAI Service in this position?
- Microsoft Azure OpenAI Service is listed as a 'good to have' skill, suggesting that experience with it would be beneficial for the Responsible AI Tech Lead. It likely contributes to building advanced AI solutions that require careful consideration of ethical implications and responsible deployment.