director of engineering

3 days ago

Bengaluru, India Weekday AI Full time

This role is for one of the Weekday's clients Salary range: Rs - Rs (ie INR 50-100 LPA) Min Experience: 15 years Location: Bengaluru, Karnataka JobType: full-time This role is designed for an engineering leader who can architect, scale, and operationalize AI-native platforms that solve complex challenges for both enterprises and high-growth startups. You will guide the evolution of next-generation AI systems—combining GenAI, agentic workflows, and entity-centric architectures—to enable reliability, velocity, and large-scale adoption. As the Director of Engineering – AI Platforms, you will define the technical vision, lead cross-functional engineering teams, and build a high-trust, distributed engineering culture that drives breakthrough innovation and operational excellence. Requirements Key Responsibilities Lead technology strategy for AI platforms and guide the shift from traditional systems to agent-based and entity-centric architectures. Define approaches for LLM orchestration, context memory, and AI workflow integration. Build and scale a distributed engineering team using a Hub & Spoke model. Mentor senior engineers and establish strong engineering practices across teams. Oversee platform reliability, security, and performance at scale. Implement AI-native operational metrics, including agent accuracy and cost efficiency. Partner with product leadership to develop long-term roadmaps and technical priorities. Provide direction on build-vs-buy decisions for AI components and system integrations. What Makes You a Great Fit 15+ years of software industry experience with strong architectural and leadership background. Expertise in AI/ML, Generative AI, LLMs, agentic architectures, and modern orchestration layers. Proven success building and scaling SaaS/PaaS platforms for large user bases or high transaction volume. Strong ability to lead distributed engineering teams and influence strategic decisions. Clear communicator with the ability to connect technical depth with business impact. Motivated by building future-ready AI systems that drive reliability, scalability, and innovation.

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