Weekday AI (YC W21) logo

director of engineering - AI Platforms

15 years

50 - 100 Lacs

bengaluru karnataka india

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

engineering ai reliability vision technology strategy orchestration workflow security metrics leadership software ml scaling saas connect drive scalability

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 5000000 - Rs 10000000 (ie INR 50-100 LPA)

Min Experience: 15 yearsLocation: Bengaluru, KarnatakaJobType: full-timeThis 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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