Engineering Manager – AI Transformation

Engineering Manager – AI Transformation / Applied AI Engineering

Company: Broadridge

Location: Bangalore / Hyderabad

Experience: 15+ Years

Relevant Leadership Experience: 9–12 Years

Notice Period: Up to 45 Days

Job Summary

Broadridge is seeking an experienced Engineering Manager to lead enterprise AI transformation initiatives and manage high-performing engineering teams. This role combines people leadership, software architecture, hands-on engineering, stakeholder management, and delivery ownership to build scalable AI-powered enterprise applications.

The ideal candidate should have a strong background in enterprise application development, AI/ML technologies, Generative AI, and modern engineering practices, along with proven leadership experience in product or startup organizations.

Key ResponsibilitiesEngineering Leadership

• Lead, mentor, and manage software, data, AI/ML, and full-stack engineering teams.
• Foster engineering excellence through coaching, code reviews, technical mentoring, and best practices.
• Drive engineering culture focused on innovation, quality, and continuous improvement.

AI Solution Delivery

• Lead the design and delivery of AI-powered enterprise applications.
• Contribute to architecture and technical design for:
• Generative AI solutions
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI workflows
• APIs and enterprise platforms
• Ensure scalable, secure, reliable, and cost-efficient AI solutions.

Architecture & Technology

• Design enterprise-grade architectures using cloud-native technologies.
• Guide engineering teams on distributed systems, APIs, microservices, DevOps, and CI/CD.
• Promote reusable AI components and engineering accelerators.
• Drive observability, governance, and responsible AI practices.

Stakeholder Management

• Collaborate with product managers, business stakeholders, architects, security teams, and data teams.
• Translate business requirements into technical roadmaps and delivery plans.
• Manage project risks, dependencies, timelines, and engineering priorities.

Required Experience

• 15+ years of software engineering experience.
• 9–12 years of engineering leadership or people management experience.
• Hands-on experience building enterprise applications.
• Minimum 1–2 years of experience in AI/ML, Generative AI, LLMs, RAG, or Applied AI solutions.
• Strong software architecture and system design expertise.
• Experience with cloud platforms, APIs, microservices, DevOps, CI/CD, and observability.
• Strong stakeholder management and cross-functional collaboration skills.

Preferred Background

• Product-based or startup organizations.
• 10+ years of startup/product engineering experience preferred.
• Experience delivering enterprise AI applications in production.
• Candidates from non-banking domains are preferred.
• FinTech experience from companies such as Razorpay or Zeta is acceptable.