Director of Engineering

This role is for one of the Weekday's clients

Min Experience: 18 years

Location: Bangalore

JobType: full-time

We are seeking an accomplished Director of Engineering to lead our advanced AI engineering function with deep expertise in Agentic AI systems, scalable AI architecture, and Platform-as-a-Service (PaaS) environments. The ideal candidate is a visionary technology leader capable of driving large-scale engineering execution, building next-generation AI-driven platforms, and shaping long-term strategy aligned with business goals. This role requires exceptional leadership, deep technical proficiency, product mindset, and proven experience architecting and deploying mission-critical, intelligent systems.

Requirements

Strategic Leadership & Technology Vision

• Define and own the technology roadmap for Agentic AI and enterprise-grade platform architecture, ensuring cutting-edge innovation and global scalability.
• Build and scale high-performing engineering teams across AI, platform engineering, microservices architecture, DevOps, and quality functions.
• Collaborate closely with Product, Research, Data Science, and Business teams to translate vision into executable plans and high-impact deliverables.

AI & Platform Architecture

• Architect robust, modular, and scalable AI platforms leveraging Agentic AI frameworks, LLM ecosystems, orchestration layers, and multi-agent reasoning systems.
• Establish end-to-end AI system design standards, including data pipelines, inference orchestration, memory management, safety, and performance optimization.
• Drive architecture decisions for mission-critical PaaS solutions including multi-tenant deployment, distributed computing, containerization, security, and cloud-native infrastructure.

Engineering Execution & Delivery

• Oversee large-scale engineering programs, ensuring high-quality delivery with measurable business outcomes.
• Implement engineering excellence practices including CI/CD, automation, code quality, testing frameworks, and platform reliability (SLA, SLO, KPI).
• Build and operate production AI systems that meet enterprise standards for compliance, reliability, privacy, and model security.

Cross-Functional Collaboration

• Partner with Research and Data Science teams to integrate advanced models, RAG, model fine-tuning, RLHF, and inference optimization.
• Work closely with customer and product leaders to validate requirements and deliver world-class platform capabilities.
• Influence stakeholders and executive leadership through strong communication and data-driven decision-making.

Team Leadership & Culture

• Mentor and develop engineering leaders, fostering a culture of technical innovation, ownership, and high performance.
• Drive talent strategy, hiring, and workforce planning for fast-scaling product and engineering teams.

• 18–25 years of progressive engineering leadership experience, with at least 8+ years in senior leadership roles (Director / Head of Engineering / VP Engineering).
• Extensive experience architecting and delivering production AI systems with Agentic AI, multi-agent systems, LLM orchestration, or intelligent automation frameworks.
• Strong expertise in building scalable PaaS / Enterprise SaaS platforms with distributed microservices architecture.
• Deep understanding of cloud ecosystems (AWS/Azure/GCP), Kubernetes, serverless, data engineering, observability, and platform reliability.
• Proven ability to scale engineering organizations (100+ engineers) and manage multi-million-dollar programs.
• Strong product thinking, business alignment capability, and customer-first mindset.

• Experience working in fast-growth technology, AI product companies or platform-first businesses.
• Publications, patents, or recognized contributions to the AI/ML community.