Responsible AI Tech Lead

Accenture in India; Bengaluru; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Accenture in India seeks a Responsible AI Tech Lead to steer the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving enterprise-grade AI adoption.

The role requires proven leadership, collaboration across teams, and a strong focus on responsible AI practices within the Microsoft Azure ecosystem.

Qualifications

• Minimum 12 years of experience in AI/ML roles.
• Azure AI Foundry and Agentic AI architecture expertise.
• 15 years of formal education required.

Responsibilities

• Serve as Architect for Microsoft Azure AI Foundry and Agentic AI.
• Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.
• Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption.
• Ensure AI workloads meet enterprise security, compliance, and governance requirements.
• Lead and mentor teams, ensuring accountability and high-quality delivery.
• Facilitate workshops and training to upskill teams on Azure AI Foundry, orchestration, and governance.
• Monitor solution performance, optimize pipelines, and align outcomes with business goals.

Skills

Microsoft Azure AI Foundry

Agentic AI Architecture

AI governance

Azure Machine Learning

Cloud architecture leadership

Education

15 years full time education

Job description

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

Microsoft Azure AI foundry

Good to have skills

NA

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification

15 years full time education

Summary

As an Azure AI Foundry Architect/ Tech Lead, you will lead the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. Acting as a Subject Matter Expert (SME), you will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsoft s AI ecosystem.

Roles & Responsibilities

• Serve as the Architect for Microsoft Azure AI Foundry and Agentic AI .
• Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.
• Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption.
• Ensure AI workloads meet enterprise security, compliance, and governance requirements.
• Lead and mentor teams, ensuring accountability and high-quality delivery.
• Partner with cross-functional teams to make key architecture and solution design decisions.
• Provide scalable solutions for multi-team AI initiatives across the enterprise.
• Facilitate workshops and training to upskill teams on Azure AI Foundry, orchestration, and governance.
• Monitor solution performance, optimize pipelines, and align outcomes with business goals.

Professional & Technical Skills

• Proven expertise in Microsoft Azure AI Foundry and Agentic AI Architecture (minimum 7.5 years hands-on experience in Azure AI/ML technologies)
• Strong understanding of AI governance, observability, and compliance frameworks.
• Experience designing and deploying AI pipelines on Microsoft Azure.
• Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.).
• Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency.
• Strong leadership and stakeholder engagement skills.
• Familiarity with regulatory requirements for enterprise AI adoption.

Additional Information

• The candidate should have minimum 10 years of experience in Microsoft Azure PaaS, minimum 7.5 years hands-on experience in Azure AI/ML technologies
• A 15 years full time education is required.