Associate Director/Director , AI & Engineering

Overview

Own engineering execution for a complex product or platform, a related portfolio, or multiple teams across the full product lifecycle, and lead managers and technical leaders.

What you'll do

• Owns engineering execution for a complex product or platform, a related portfolio, or multiple teams across discovery, planning, design, build, test, release, adoption, production operations, and continuous improvement
• Translates product and business strategy into a multi-quarter engineering roadmap, investment priorities, staffing plan, modernization agenda, and measurable outcome framework
• Partners with Product Management, business stakeholders, Architecture, Quality Engineering, Data, Security, Compliance, and Operations to convert priorities into measurable customer and business outcomes
• Leads cross-team planning, dependency management, architecture governance, risk and cost decisions, release coordination, and transparent executive-level delivery communication
• Establishes and governs engineering standards for architecture and design reviews, secure coding, code review, automated testing, CI/CD, observability, performance, reliability, accessibility, documentation, and production readiness
• Uses business, product, flow, quality, reliability, cost, and talent metrics to improve predictability, deployment health, service resilience, developer experience, and business value
• Builds reusable engineering and AI patterns across products, reduces duplicated solutions, and creates durable platform capabilities through automation-first, API-first, cloud-native, and disciplined technical-debt practices
• Creates an AI-first culture that applies approved AI capabilities responsibly across the product development lifecycle, with human oversight, evaluation, traceability, privacy, security, intellectual-property protection, cost awareness, and measurable outcomes
• Leads managers, technical leaders, senior engineers, partners, and vendors; establishes decision rights, operating rhythms, performance expectations, capability plans, and succession depth across teams

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• Typically 12+ years of progressive software engineering and technology leadership experience, including substantial people-management responsibility
• Proven ownership of a complex enterprise product or platform, related product portfolio, or multi-team delivery environment through the full product development lifecycle
• Demonstrated experience leading multiple teams and/or managers, shaping engineering strategy, managing cross-functional dependencies, and influencing senior stakeholders
• Strong technology breadth across architecture, cloud, APIs, distributed systems, data, DevSecOps, quality engineering, observability, reliability, security, and operational governance
• Track record of using business, product, delivery, quality, reliability, cost, and talent metrics to guide decisions and improve outcomes

Nice to have

• Practical leadership experience with AI/ML, Generative AI, Applied AI, RAG, AI agents, agentic workflows, LLMOps/MLOps, AI evaluation, responsible AI governance, or AI-assisted engineering practices

Details

• Location: Hyderabad, India
• Work mode: Hybrid