Vice President — Engineering

Location: Bengaluru, India — Hybrid (3 days/week in office)
Reporting to: CEO
Experience: Preferably** 10–15 years** of enterprise software engineering experience. Candidates with fewer years may be considered if they demonstrate exceptional hands-on engineering and leadership expertise.

*About the Role
*
We are looking for a senior technology leader to drive the organisation’s product, AI and platform technology strategy while leading engineering excellence across AI/ML, data, platform engineering, DevOps, infrastructure and quality engineering.

This is a mission-critical leadership role requiring someone who combines strong hands-on technical depth with strategic engineering leadership and has experience building and scaling enterprise-grade B2B SaaS products.

The ideal candidate should have successfully taken AI/ML or GenAI solutions from early-stage prototypes to scalable production platforms, particularly involving AI agents, multi-agent orchestration, intelligent automation, complex workflows and document intelligence.

*Key Responsibilities
*Technology & Product Leadership
Define and execute the overall technology vision, architecture and long-term platform roadmap.
Lead the architecture, design and delivery of highly scalable enterprise systems.
Drive engineering excellence, development velocity, scalability, security and reliability.
Partner with executive leadership on business strategy, customer requirements and product delivery.
Engineering & Platform Leadership
Lead engineering functions across product technology, platform engineering, AI/ML, DevOps, infrastructure and Quality Engineering.
Architect and scale cloud-native platforms across Azure, AWS and GCP.
Drive distributed systems and microservices architecture.
Own production reliability, uptime, engineering efficiency and cloud cost optimisation.
Build, mentor and scale high-performing full-stack and machine-learning engineering teams.
GenAI & AI Strategy
Build scalable, production-grade GenAI, ML and enterprise data capabilities.
Own GenAI/LLM solution architecture.
Architect solutions involving AI agents, autonomous workflows and multi-agent orchestration.
Lead the development of intelligent automation, data extraction and decision-intelligence solutions.
Provide hands-on architectural oversight for LLMs, applied AI and deep-learning products.
Build sophisticated document intelligence and intelligent document automation platforms, including solutions comparable to patent parsing, legal workflow automation and structured decision systems.
What Success Looks Like

AI Transformation: Build enterprise-grade AI capabilities leveraging GenAI, LLMs, ML, AI agents and data engineering.

Platform Scaling: Architect and scale the technology platform to support enterprise customers and global growth.

Engineering Culture: Build a high-performance engineering organisation focused on ownership, innovation, execution and continuous learning.

*Required Experience & Qualifications
*Preferably 10–15 years of experience in enterprise software engineering, B2B SaaS or technology-first product companies.
Strong experience in engineering leadership and technology strategy.
Proven experience taking AI/ML or GenAI prototypes into production-grade enterprise SaaS platforms.
Hands-on experience with LLMs, AI agents, multi-agent systems and workflow orchestration.
Experience with document intelligence, unstructured data processing or intelligent automation is highly desirable.
Experience building and mentoring teams of full-stack, platform and ML/AI engineers.
Proven experience defining and executing technology strategy, architecture and platform roadmaps.
Strong cloud-native engineering expertise across Azure, AWS and/or GCP.
Experience managing product delivery end-to-end, including production operations and customer support.

Technical Skills
Programming: Java, Python
Frontend/Backend: JavaScript, React, Angular, Node.js
AI: GenAI, LLMs, AI Agents, Applied AI, Deep Learning
AI Architecture: Multi-Agent Orchestration, Autonomous Workflows, Decision Intelligence
Data: SQL, NoSQL, Data Modelling, Unstructured Data
Architecture: Distributed Systems, Microservices, Platform Architecture
Cloud: Azure, AWS, GCP
Engineering: DevOps, CI/CD, Git, Quality Engineering
Methodologies: Agile
Tools: Atlassian ecosystem
Leadership Competencies
Strong engineering and technology leadership.
Ability to remain technically hands-on while leading at a strategic level.
Strong product and delivery management capabilities.
Experience working directly with senior executives and enterprise customers.
Excellent stakeholder communication and influencing skills.
Strong business acumen combined with deep technical expertise.
Strong analytical, problem-solving and decision-making capabilities.

*Key Skills
*
Engineering Leadership | GenAI / LLMs | AI Agents | Platform Architecture | Document Intelligence | Multi-Agent Orchestration | Distributed Systems | Microservices | Java | Python | React | Node.js | Azure | AWS | GCP | DevOps | Quality Engineering | Technology Strategy | B2B SaaS