Senior Vice President of Engineering Agentic AI

Job Title: Senior Vice President (SVP) Engineering (Agentic AI & Generative AI)

Location: Bangalore/Gurgaon ( Onsite)

Experience: 1925+ years

Reporting to: Global CIO

Role Overview

We are seeking a visionary SVP of Engineering to lead large-scale engineering organizations building Agentic AI systems and Generative AI platforms . This role demands a rare blend of deep technical expertise , AI-first product thinking , and enterprise-scale engineering leadership .

You will own the architecture, execution, and evolution of AI-driven platforms, transforming business workflows through autonomous agents, LLM-powered systems, and intelligent decision engines , while scaling high-performing global engineering teams.

Key Responsibilities

AI & Platform Leadership

• Define and execute the Agentic AI and Generative AI engineering strategy aligned with business and product vision.
• Lead the design of autonomous AI agents , multi-agent orchestration frameworks, and tool-augmented LLM systems.
• Drive adoption of LLM architectures , including RAG, fine-tuning, prompt orchestration, memory systems, and agent planning.
• Establish best practices for AI safety, governance, observability, evaluation, and cost optimization .

Engineering & Architecture Excellence

• Own end-to-end system architecture for scalable, secure, and high-availability AI platforms.
• Lead modernization toward cloud-native, event-driven, and distributed systems .
• Ensure engineering excellence across performance, reliability, scalability, and security .
• Partner closely with Product, Data, and Research teams to translate AI innovation into production-grade systems.

Organizational Leadership

• Build and scale large multi-disciplinary engineering teams (Backend, Platform, AI/ML, Infra, DevOps).
• Mentor senior leaders (VPs, Directors, Staff Engineers) and build a strong engineering leadership bench.
• Foster a culture of innovation, ownership, accountability, and continuous learning .
• Drive execution through OKRs, delivery metrics, and engineering health indicators.

Executive & Business Partnership

• Act as a strategic partner to C-suite and Board , translating AI capabilities into business outcomes.
• Lead build vs buy decisions, vendor partnerships, and AI ecosystem collaborations.
• Support go-to-market strategies by enabling AI-led differentiation and scale .
• Represent engineering in investor, partner, and customer discussions.