Engineering Manager, AI Platforms & Architecture

Vanguard; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Vanguard India is building a world-class technology center in Hyderabad. We are seeking a senior engineering leader to architect, develop, and support enterprise technology solutions across platforms.

You will champion modern practices, drive AI-enabled initiatives, and ensure secure, scalable systems that align with business priorities. You will mentor engineers, lead architectural reviews, and collaborate with product, UX, infrastructure, and security teams to deliver impactful technology

Qualifications

• Minimum 10 years in software engineering with 5+ years in people leadership.
• Proven track record delivering enterprise-scale platforms.
• Strong architecture, distributed systems, and modern dev practices.
• Experience with cloud, containers, and microservices.
• Excellent communication, stakeholder mgmt and strategic thinking.

Responsibilities

• Lead engineering teams and senior technical leads across platforms.
• Set architectural direction and ensure alignment with business goals.
• Oversee secure API integrations and data exchange.
• Drive design, development, testing, deployment, and support of scalable solutions.
• Mentor engineers, shape roadmaps, and promote engineering best practices.

Skills

Technical leadership

Software architecture

Distributed systems

Cloud platforms

APIs & integrations

Programming: Java/Python/C#/JavaScript

DevOps & CI/CD

Security & compliance

Mentoring teams

AI/ML familiarity

Education

Bachelor's degree in CS/SE/IT

Master's degree preferred

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

About Vanguard

Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries.

Vanguard India

Vanguard's office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary

Lead a team of engineers and technical leads responsible for architecting, developing, and supporting enterprise technology solutions across multiple platforms. This role provides senior-level technical leadership, drives modern engineering practices, oversees secure API integrations, and ensures alignment between technology architecture, business priorities, and user needs. The incumbent champions innovation, software quality, documentation standards, and the adoption of emerging technologies, including AI-enabled solutions.

Responsibilities

• Lead, coach, and develop high-performing engineering teams by setting clear expectations, fostering career growth, and driving accountability for results.
• Provide strategic technical leadership and architectural direction for complex, enterprise-scale software and platform solutions.
• Drive the design, development, implementation, testing, deployment, and support of secure, scalable, and resilient technology solutions.
• Review and approve technical designs, architectural recommendations, and engineering deliverables to ensure alignment with enterprise standards and business objectives.
• Partner with business, product, UX, infrastructure, and security teams to deliver technology solutions that enhance user experience and operational efficiency.
• Lead resolution of complex technical challenges through root-cause analysis, risk mitigation, and proactive problem prevention.
• Establish and maintain engineering best practices, technical standards, governance processes, and software documentation frameworks.
• Guide the adoption of modern software engineering methodologies, development tools, automation, and cloud-native technologies.
• Drive API strategy and integration architecture to support secure and seamless data exchange across enterprise systems and applications.
• Ensure solutions comply with information security, privacy, risk, and regulatory requirements.
• Mentor engineers and technical leaders, fostering continuous learning and technical excellence across the organization.
• Contribute to strategic technology roadmaps, architecture evolution, and long-term investment planning.
• Identify opportunities to improve engineering productivity, software quality, development efficiency, and platform scalability.
• Stay current on emerging technologies, industry trends, AI innovations, and modern software architecture practices.
• Support organizational initiatives and perform additional duties as assigned.

Qualifications & Skills

Required Qualifications

• Bachelor's degree in computer science, Software Engineering, Information Technology, or a related discipline; Master's degree preferred.
• Minimum 10 years of software engineering or technology experience with at least 5 years leading engineering teams and managers.
• Demonstrated success delivering enterprise-scale applications and technology platforms from concept through production.
• Strong expertise in software architecture, distributed systems, application engineering, and modern development practices.
• Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
• Experience with Agile development methodologies, DevOps practices, CI/CD pipelines, and test automation.
• Strong understanding of cloud platforms (AWS, Azure, or GCP), containerization, and microservices architecture.
• Experience designing and integrating APIs and enterprise-scale software solutions.
• Excellent analytical, problem-solving, stakeholder management, and communication skills.
• Proven ability to build, lead, and develop high-performing engineering teams.

Preferred Qualifications

• Experience leading multiple engineering teams, technical leaders, or platform organizations.
• Strong understanding of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI architectures.
• Experience building and scaling enterprise AI products, platforms, or developer enablement capabilities.
• Knowledge of AI governance, model risk management, Responsible AI, security, privacy, and compliance frameworks.
• Experience with agentic AI, multi-model architectures, and enterprise automation solutions.
• Ability to define technology vision, roadmaps, and investment priorities aligned to strategic business outcomes.

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