Hiring organization : Euromonitor International

Location : #Bangalore India , Salary : Not disclosed

Eligibility : Experience / Freshers

AI Tech Lead job in Bangalore India :

Skill s: Platform Engineering, AI Engineering

Last date : 11 Oct 26

Responsibilities of the Candidate:

Working closely with engineering teams, architecture, security, compliance, and business stakeholders, the AI Technical Lead develops standards, best practices, training materials, and enablement programs that help teams leverage AI responsibly and effectively. They facilitate workshops, coaching sessions, proof-of-concept initiatives, and community activities that accelerate AI literacy and practical adoption throughout the Technology department. 

The AI Technical Lead owns the backlog and roadmap for internal AI tooling, gathering requirements and feedback from stakeholders, translating them into well-defined work items, and driving delivery of enhancements that improve productivity, knowledge sharing, engineering effectiveness, and business outcomes. They ensure governance, security, compliance, and operational requirements are incorporated into all AI initiatives. 

Requirements:

Strong understanding of Generative AI technologies, Large Language Models (LLMs), AI assistants, and enterprise AI adoption approaches. 

Experience managing AI-enabled platforms and services within a medium to large organization. 

Experience in Platform Engineering 

Understanding of cloud FinOps principles and experience managing technology consumption costs. 

Experience evaluating, testing, and validating new technologies or platform capabilities. 

Knowledge of AI governance, risk management, compliance, information security, and responsible AI principles. 

Experience building and delivering technical training, workshops, or enablement programs. 

Strong stakeholder management and communication skills. 

Knowledge of Microsoft Copilot, Azure OpenAI, Azure AI Services, Microsoft Fabric AI capabilities, GitHub Copilot, Claude, or equivalent platforms. 

Understanding of software engineering practices and modern technology delivery methods. 

Ability to analyse usage data, adoption trends, and business outcomes to support decision-making.