Vice President - Engineering in Bangalore, भारत

Location : Bengaluru, India - Hybrid (3 days/week in office)Reporting to : CEOExperience : 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 https://jobeax.com/link/Su94qKF5nSSsAXgm 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 https://jobeax.com/link/QyTNYGYfvjigAoP2 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 https://jobeax.com/link/deN2Wq8b0z9m2V0e 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 https://jobeax.com/link/dOMpO5gXgeGXhXLQ 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 https://jobeax.com/link/0TUCbKxwK4YMN57o & 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 https://jobeax.com/link/6ui2LfyIWCenecTR & 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 https://jobeax.com/link/9VTjsfrX4jzNt14K 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 https://jobeax.com/link/MYIQVM4YqwlQMBur 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 https://jobeax.com/link/E0ao1WlvTNt4Vpdq 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 ecosystemLeadership 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. (ref:hirist.tech)