VP - Engineering Role

Position Details:

Position: Vice President - Engineering

Reports to: CEO

Location: Bangalore, India

About Clairvolex:

Clairvolex offers global patent portfolio development capabilities to enterprises and IP law firms using its proprietary Clair AI platform and Expert Centers. Some of the world-s best innovative companies are its clients. Clairvolex raised Series A and Series B investments from Silicon Valley, led by Celesta Capital. It has business operations in the San Francisco Bay Area and in Bangalore and Gurgaon in India.

Role Description:

You will be a pivotal member of the leadership team responsible for driving the company-s product and platform strategy, while overseeing engineering excellence across AI, data, platform, DevOps, and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

1. Technology and Product Leadership:

- Define and drive the technology vision, architecture, and long-term platform roadmap.

- Oversee the architecture, design, and delivery of highly scalable enterprise systems.

- Ensure engineering excellence, velocity, and reliability across the product lifecycle.

2. Engineering and Platform Management:

- Lead platform engineering, product technology, DevOps, infrastructure, and Quality Engineering.

- Build robust cloud-native systems using Azure, AWS, and GCP ecosystems.

- Oversee operational effectiveness, including uptime, production reliability, and cost optimization.

3. Innovation and AI Strategy:

- Spearhead Mission AI by developing scalable and production-grade AI/ML and GenAI capabilities.

- Own the GenAI/LLM Solutions Architecture.

- Core specialization in AI Agents and Autonomous workflows, Data Extraction and Intelligent Automation.

- Direct hands-on architectural oversight of Large Language Models (LLMs), Applied AI, and multi-layered deep learning products.

- Extensive expertise in building intelligent document automation systems.

4. Technical Leadership:

- Proven track record overseeing product architecture, tech strategy, and cross-functional engineering execution across core full-stack and AI platforms.

- Collaborate with Executive Leadership on business strategy, client requirements, and product delivery.

- Build, mentor, and scale high-performing engineering teams with a growth mindset.

- Establish a strong technology culture grounded in ownership, innovation, and continuous learning.

Qualifications and Experience:

- 10-15 years of enterprise software engineering experience across B2B SaaS or technology-first companies.

- Proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms.

- Experienced in building and mentoring agile, lean startup teams.

- Extensive cloud-native engineering experience with Azure, AWS, and GCP.

Required Competencies:

- Strong full-stack engineering background (Java, Python, JavaScript frameworks).

- Expertise with JS frameworks such as React, Angular, Node.js.

- Experience building and scaling distributed systems and microservices.

- Strong knowledge of databases (SQL, NoSQL), data modeling, and unstructured data management.

- Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

- Excellent communication skills with the ability to influence executive stakeholders.

- High technical proficiency combined with strong business acumen.

- Strong analytical and decision-making skills.