Head of Technology (Germany Onsite)

Senior Vice President – Engineering (Agentic AI & Digital Products)

Location: Gurgaon / Bangalore (Hybrid)

Experience: 20+ Years

Leadership Scope: 500+ Engineers Across Global Teams

About the Role

We are seeking a visionary Senior Vice President – Engineering to lead the next generation of AI-powered digital products and platforms. This role will drive the strategy, architecture, and execution of large-scale Agentic AI systems, transforming customer experiences, operational workflows, and engineering productivity through intelligent autonomous agents.

The ideal leader has successfully built and scaled 0→1 AI products from concept to production, with deep expertise in deploying Agentic AI solutions at enterprise scale. You will lead global engineering teams responsible for delivering AI-native products that serve millions of customers while modernizing legacy platforms into intelligent, autonomous systems.

Key Responsibilities

Agentic AI Strategy & Vision

• Define and execute a 3–5 year engineering and Agentic AI roadmap aligned with business objectives.
• Drive adoption of Agentic AI across customer journeys, service operations, commerce platforms, and engineering workflows.
• Establish a long-term vision for AI-native products powered by autonomous agents, orchestration frameworks, and LLM-driven decision systems.
• Partner with executive leadership to identify high-impact opportunities where Agentic AI can create measurable business value.

Build Agentic AI Products (0→1 to Production)

• Lead the design, development, and production deployment of Agentic AI systems from ideation through enterprise-scale rollout.
• Build multi-agent workflows capable of planning, reasoning, tool usage, memory management, and autonomous execution.
• Drive implementation of LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent platforms.
• Establish best practices for AI evaluations, guardrails, observability, governance, safety, and reliability.
• Own the complete lifecycle of AI systems including experimentation, validation, production deployment, monitoring, and continuous optimization.

Engineering & Platform Leadership

• Lead engineering teams building customer-facing platforms, commerce ecosystems, CRM solutions, service applications, and AI-enabled experiences.
• Drive modernization of legacy platforms into cloud-native, API-first, AI-ready architectures.
• Ensure engineering excellence through scalable system design, automation, observability, and operational rigor.
• Guide teams in building highly available, secure, and resilient distributed systems.

AI Platform & Infrastructure

• Build enterprise-grade AI platforms supporting model serving, vector databases, RAG pipelines, agent orchestration, and AI observability.
• Define standards for AI governance, model lifecycle management, prompt engineering, evaluation frameworks, and responsible AI practices.
• Establish scalable infrastructure supporting large-scale AI workloads and autonomous workflows.
• Lead adoption of AI engineering best practices across the organization.

Executive Leadership & Business Impact

• Partner with CIOs, CPOs, and executive stakeholders to align technology investments with business priorities.
• Drive large-scale transformation initiatives delivering significant business impact through AI and automation.
• Influence product strategy through deep understanding of customer needs, competitive landscape, and emerging AI technologies.
• Represent the organization externally with customers, partners, investors, and industry leaders.

Organization Building

• Lead, mentor, and scale high-performing global engineering organizations.
• Build strong leadership teams capable of driving innovation and execution at scale.
• Foster a culture of experimentation, ownership, engineering excellence, and AI-first thinking.
• Attract and retain world-class engineering and AI talent.

Must-Have Experience

• 20+ years of software engineering experience with significant leadership responsibility.
• Proven experience leading large-scale global engineering organizations (500+ engineers preferred).
• Strong hands-on background in software architecture, distributed systems, cloud platforms, and enterprise-scale engineering.
• Demonstrated success building Agentic AI products from 0→1 and taking them into production environments.
• Deep expertise in:
• Agentic AI Architectures
• Multi-Agent Systems
• LLM Orchestration
• RAG Architectures
• AI Workflow Automation
• Autonomous Decision Systems
• Prompt Engineering & Evaluation Frameworks
• AI Observability & Monitoring
• Experience deploying production-grade AI systems serving large-scale customer or enterprise workloads.
• Strong understanding of AI governance, security, safety, compliance, and model lifecycle management.
• Experience driving AI adoption across customer experience, commerce, operations, or engineering productivity functions.
• Proven ability to influence executive stakeholders and drive enterprise-wide transformation initiatives.
• Strong track record of hiring, mentoring, and scaling high-performing engineering organizations.

Preferred Experience

• B2C, D2C, Consumer Internet, Digital Platforms, E-Commerce, Telecom, SaaS, or FinTech environments.
• Experience working with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent.
• Exposure to Voice AI, Conversational AI, AI Agents, Copilots, and Autonomous Workflow Systems.
• Experience building AI platforms supporting millions of users and high-volume transactions.
• Strong understanding of cloud-native technologies and modern platform engineering.

Education

• Bachelor's or Master's Degree in Computer Science, Engineering, or related discipline.

What Success Looks Like

• Establish a world-class Agentic AI engineering organization.
• Deliver multiple AI-native products from concept to production.
• Transform legacy workflows into autonomous AI-driven systems.
• Build scalable AI platforms enabling rapid innovation across the enterprise.
• Drive measurable business impact through AI-powered automation, productivity, and customer experience transformation.