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 worlds 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 & in Bangalore and Gurgaon in India.

Role Description :

You will be a pivotal member of the leadership team responsible for driving the companys 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 & 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 & 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 & AI Strategy :

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

- Own the GenAI/LLM Solutions Architecture.

- Core specialization in AI Agents & Autonomous workflows, Data Extraction & 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 & 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 comprising Full-Stack and Machine Learning engineers.

- Proven leadership in defining and executing technology strategy and platform roadmaps.

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

Required Competencies :

Technical Expertise :

- 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 & 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).

Behavorial & Leadership competencies :

- Product & Delivery management expertise (end-to-end, including delivery and customer support).

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

- High technical proficiency combined with strong business acumen.

- Strong analytical and decision-making skills.