director of engineering

3 hours ago

Bengaluru, Karnataka, India Weekday AI Full time US$ 10,00,000 - US$ 25,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 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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