Head of Technology (Germany Onsite)
8 hours ago
Liverpool
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.