Head of Engineering

Quadrant IT Services; Hyderabad; Sur place; INR 4 500 000 - 6 500 000; Plein temps

Résumé du poste

Quadrant IT Services Pvt Ltd. seeks a Head of Engineering – AI & SaaS Products to lead architecture, engineering, development, and delivery of AI-native SaaS solutions.

You will translate business goals into scalable tech, select technologies, guide teams, and ensure secure, high-performance products. The ideal leader combines deep tech expertise with strategic vision to decide what to build, why, and how to build it efficiently, leveraging AI for competitive advantage and driving continuous

Qualifications

• 15+ years of software engineering experience.
• 7–10+ years in technical leadership, architecture, or management.
• Proven design and delivery of production-grade SaaS or enterprise apps.
• Hands-on experience with LLMs, RAG, and AI workflows.
• Strong system architecture, tech selection, databases, APIs, cloud, and security.
• Experience leading teams, resolving blockers, delivering multiple projects.
• Hands-on with architecture and prototypes.

Responsabilités

• Lead architecture, engineering, delivery of AI-native SaaS products.
• Set engineering standards and drive scalable delivery processes.
• Mentor developers and foster a culture of excellence and accountability.
• Translate business requirements into scalable technical solutions.
• Leverage AI to create competitive advantages and product value.

Connaissances

Software engineering

Technical leadership

Architecture

AI integration

Stakeholder management

Hands-on prototyping

Team mentorship

Security & reliability

Formation

Bachelor's or Master's degree

Outils

CI/CD pipelines

Cloud platforms

Multi-tenant SaaS

Description du poste

Role Type: Full-Time | Senior Technology Leadership

Experience: 15+ years in software engineering, with at least 5 years in technical leadership, architecture, or engineering management

Industry Experience: AI- Native & AI-powered SaaS Products, Enterprise Products, SaaS Products

1. Role Overview

We are looking for an accomplished Head of Engineering – AI & SaaS Products to lead the architecture, engineering, development, and delivery of multiple next-generation software products, including AI-native SaaS applications.

This role requires a rare combination of deep technical expertise, hands-on engineering capabilities, architectural decision-making, AI innovation, and strong team leadership. The individual will be responsible for translating business objectives and product requirements into scalable technical solutions, selecting the right technologies, guiding development teams, and ensuring the successful delivery of secure, high-performance, market-ready products.

The ideal candidate is a technology leader who understands not only how to build software, but also what to build, why to build it, how to build it efficiently, and how to leverage AI to create a meaningful competitive advantage.

This individual will establish engineering standards, improve development processes, mentor developers, and create a culture of technical excellence, accountability, innovation, and continuous improvement.

Experience & Qualifications

Mandatory Requirements

• 15+ years of overall software engineering experience.
• At least 7–10 years in technical leadership, architecture, or engineering management.
• Proven experience designing and delivering production-grade SaaS or enterprise applications.
• Hands-on experience integrating LLMs, implementing RAG, and building agentic or tool-using AI workflows.
• Strong expertise in system architecture, technology selection, databases, APIs, cloud infrastructure, and security.
• Experience leading engineering teams, reviewing technical work, resolving blockers, and delivering multiple projects.
• Ability to remain hands-on with architecture, prototypes, and complex engineering challenges.
• Strong analytical, communication, decision-making, and stakeholder-management skills.

Preferred Qualifications

• Experience building AI-native SaaS products from architecture through production.
• Exposure to HR tech, recruitment, procurement, ERP/CRM integrations, or enterprise workflows.
• Experience with multi-tenant SaaS, enterprise security, model fine-tuning, or self-hosted AI.
• Experience establishing engineering teams, standards, CI/CD, and scalable delivery processes.
• Proven ability to turn emerging AI technologies into commercially valuable products.
• Relevant bachelor's or master's degree, or equivalent practical experience.