Job Title: Senior Vice President (SVP) – Generative AI & Software Backend EngineeringExperience: 18+ YearsLocation: Open / Hybrid / GlobalReports to: CTO / CEOThe OpportunityWe’re seeking a rare hybrid leader—someone who speaks LLMs and system design with equal fluency. As SVP – GenAI & Software Backend Engineering, you will define the technology backbone of the company, owning both next-gen AI innovation and planet-scale backend platforms.This role sits at the core of the CTO’s office and shapes how AI is imagined, built, shipped, and scaled.What You’ll Lead & Own1. GenAI Strategy & AI Platform Leadership- Define the enterprise-wide Generative AI vision and roadmap—from copilots to autonomous agents. - Architect and scale LLM-powered systems including RAG pipelines, vector databases, agentic workflows, and multimodal AI. - Drive AI platformization to enable rapid experimentation and safe production rollout across teams. - Establish Responsible AI, governance, security, and cost controls for large-scale AI adoption.2. Backend Engineering at Scale- Own the design and evolution of high-performance backend systems powering AI-first products. - Lead architecture for microservices, event-driven systems, APIs, data platforms, and distributed systems. - Ensure reliability, scalability, observability, and performance across cloud-native platforms. - Champion engineering excellence—clean architecture, design reviews, and system thinking.3. Product, Business & Execution- Partner with Product, Data, and Business leaders to translate AI capabilities into real customer value and revenue. - Balance innovation vs. operability—making sure cutting-edge tech actually ships and scales. - Own delivery of 0→1 platforms and 1→100 enterprise systems.4. Leadership & Culture- Build and mentor elite AI and backend engineering teams across geographies. - Set the bar for technical rigor, velocity, and ownership. - Act as a technical sounding board for the CTO, exec team, and board.What You Bring- 18+ years of experience in software engineering and technology leadership - Deep backend engineering pedigree with strong fundamentals in: - Distributed systems & system design - Microservices, APIs, data stores, and event streaming - Cloud platforms (AWS / Azure / GCP) - Hands-on and strategic experience in Generative AI, including: - LLMs, RAG, embeddings, vector databases - Agentic AI systems and AI orchestration - Model inference optimization & MLOps - Proven success leading large, high-impact engineering orgs - Ability to operate seamlessly between whiteboard architecture, code reviews, and boardroom strategyTech Stack Exposure (Indicative)- Backend: Java, Go, Python, Node.js - AI/ML: OpenAI, Anthropic, Gemini, open-source LLMs (LLaMA, Mistral), LangChain, LlamaIndex - Data: Kafka, Redis, PostgreSQL, NoSQL, Vector DBs - Cloud & Infra: Kubernetes, Docker, Terraform, CI/CD - (Tools may vary—the thinking matters more than the stack)What Makes This Role Special- You own both AI intelligence and system foundation - Influence company strategy, not just architecture - Build platforms that define the future, not features - Work with leadership that treats AI + Engineering as a competitive moatNice to Have (Not Mandatory)- Experience in AI-first or platform companies - Exposure to regulated or large-scale enterprise systems - Prior role as SVP / VP Engineering / Head of Platform / Head of AI
Job Title
Senior Vice President - AI