Vice President of Engineering (48)

Vice President Of Engineering

This is a senior executive leadership role at the intersection of AI, platform engineering, and large-scale distributed systems.You will shape how next-generation AI capabilities—particularly LLMs, agentic workflows, and human-in-the-loop systems—are built, deployed, and scaled across a high-impact fintech environment.The role combines deep technical ownership with organizational leadership, requiring a strong hands-on engineering background alongside executive-level decision-making.You will drive engineering velocity, architectural excellence, and AI-native product development across global teams.The position is both strategic and operational, balancing long-term platform vision with day-to-day execution.

It requires close collaboration with product, ML, and executive stakeholders to translate innovation into production-grade systems.This is a high-autonomy role where your decisions directly influence product scalability, reliability, and business growth.

Accountabilities:

• Own end-to-end engineering execution, including roadmap planning, sprint delivery, release quality, and cross-team dependency management across distributed teams.
• Drive engineering velocity by fostering a high-trust, high-ownership culture focused on rapid iteration and continuous improvement.
• Lead the integration of AI-native capabilities, including LLMs, agentic systems, and GenAI workflows, into core products at scale.
• Define and enforce engineering standards across architecture, code quality, observability, security, and incident response.
• Architect and oversee large-scale distributed systems with a strong focus on scalability, reliability, and performance.
• Remain hands-on in critical technical decisions, including architecture reviews and system design for high-impact initiatives.
• Lead and scale a global engineering organization across multiple geographies, including hiring, talent development, and leadership coaching.
• Partner with executive stakeholders on technical strategy, budget planning, cloud cost optimization, and enterprise commitments.

Requirements:

• 14+ years of software engineering experience, including at least 5+ years in senior engineering leadership roles at scale (Series C or equivalent growth stage).
• Strong IC foundation with progression through Architect or Principal Engineer roles, with deep expertise in system design and architecture.
• Proven experience building and shipping production-grade AI/ML systems, including LLMs, RAG pipelines, or agentic workflows.
• Strong background in distributed systems and cloud-native architectures (AWS preferred), with experience scaling high-availability platforms.
• Demonstrated ability to lead engineering organizations and partner effectively with CTO/CEO-level stakeholders.
• Experience in fintech, document AI, or regulated, data-intensive environments is highly desirable.
• Track record of building or transforming engineering culture, including hiring systems, performance frameworks, and career ladders.
• Strong understanding of modern developer productivity tools and AI-augmented software development practices.
• Excellent executive communication, strategic thinking, and cross-functional leadership skills.

Benefits:

• Competitive executive compensation package aligned with experience and impact.
• Remote-first work culture with global collaboration across US and India teams.
• Opportunity to lead cutting-edge AI-native platform development at scale.
• Comprehensive health, wellness, and retirement benefits (location dependent).
• Significant ownership over engineering strategy, budget, and technical direction.
• High-impact role with visibility at executive level and influence over company-wide decisions.
• Inclusive, values-driven culture focused on empathy, curiosity, humility, and ownership.
• Access to advanced AI tools and modern engineering infrastructure.