Generative AI Copilot

Generative AI Copilot

Band

• B2 & B3

Location

• Pune, Bangalore, Chennai, Hyderabad & Coimbatore

Key Responsibilities

• lead the implementation of AI use cases, managing team of AI Engineers Ensure quality and schedule of AI use case delivery.

• Regularly communicate development progress with key stakeholders and receive feedback from them.

• Make sure best coding practices/standards are being followed by the team, code reviews, technical troubleshooting, drive day to day development task prioritization, allocation & coordination for offshore team members via Jira based scrum process, lead technical coordination with onsite team.

• Continuously optimize and tune solution components including RAG pipelines to enhance performance and accuracy.

• Ensure AI solutions adhere to security, compliance, and privacy standards, particularly for data-sensitive applications.

• Drive organizational AI maturity by defining standards for model monitoring, performance evaluation, and continuous improvement.

Provide leadership in cloud architecture design, deployment, and scaling strategies, ensuring that AI systems are efficient, secure, and maintainable within the Azure ecosystem.

Key Requirements

• 6+ Years of experience in the ideation, design, and end-to-end implementation of AI solutions.

• Proven track record of leading teams of AI engineers and reporting to senior leadership.

• At least 5 years of hands-on experience working with Azure AI, Azure OpenAI, Azure AI Foundry, Azure Cognitive Services, and Azure Machine Learning.

• Strong hands-on coding skills in Python and popular ML/DL libraries.

• Proven expertise in deploying machine learning models and AI applications in a cloud environment (Azure preferred).