SVP, Engineering

About JazzX AI :

Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise.

JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done.

We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that.

JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option.

We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries.

This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place.

About SAIGroup :

SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one.

The Role

The SVP, Engineering is the most senior engineering executive at JazzX—responsible for the platform and application/solution engineering organization, AI systems quality, reliability, and the engineering function that turns the JazzX platform into an enterprise-grade, scalable product. You will lead engineering strategy, architecture, and delivery in close partnership with Product, Customer Delivery, and GTM.

This is a full-stack engineering leadership role with ownership across platform architecture, AI systems, application and solution engineering, infrastructure, security, and organizational scaling. You will define how the platform is built, how quality is measured, how deployments become repeatable, and how JazzX scales across domains, customers, and partners without drifting into bespoke execution.

The engineering leader inherits a live operational platform, a production-deployed mortgage solution as the first wedge in our multi-domain strategy, active customers, and a large pipeline.

Reports To CEO.

Scope

End-to-end JazzX engineering function across the shared platform and domain application/solution layers, enabling reuse at scale while delivering measurable customer outcomes in production. Includes architecture, development, delivery, reliability, AI quality, security, infrastructure, operations and engineering org design and scaling.

Team

Full-stack engineering organization across platform engineering, application and solution engineering, AI/ML, data and integrations, infrastructure, security, DevOps, and QA.

Geography

Distributed engineering organization across the US and India, with senior leadership in both. GTM organization is currently in the US, expected to grow globally.

What you will own

Platform Engineering & AI Systems

Platform strategy and architectural evolution

Own the engineering strategy across the JazzX platform and the solutions built on top of it. Define the next stage of architectural maturity—setting priorities across platform capabilities domain applications, and new deployment models so JazzX scales as a platform company, not a bespoke services business. Aligns engineering strategy tightly with business growth goals building toward a platform capable of supporting a $1B+ ARR trajectory.

AI systems quality and enterprise readiness

Evolve JazzX's AI-native capabilities from functional to enterprise-grade and production-hardened. Build evaluation frameworks, benchmarks, regression coverage, and feedback loops. Strengthen explainability, auditability, governance, and human-in-the-loop controls based on real deployment needs. Establish consistent standards for reliability, observability, and failure handling as usage scales across customers and domains.

Architecture boundary judgment and reuse discipline

Make clear, durable decisions about what belongs in the shared platform versus solution layers, configuration/integration, or customer-specific scope. Systematically convert repeated patterns from live deployments into reusable services, frameworks, and tooling. Protect the platform from fragmentation while enabling speed.

Field-to-platform learning loop

Build strong mechanisms to convert customer deployments, delivery learnings, and workflow gaps into reusable platform improvements. Ensure JazzX learns from every deployment and systematically turns that learning into stronger, more repeatable platform assets.

Delivery, Scale & Market Expansion

Engineering operating system for scale

Evolve current execution practices into a disciplined, high-throughput engineering system. Strengthen planning, design review, and delivery rhythms. Raise the bar on release quality, incident response, and observability. Make trade-offs explicit and data-driven across scope, timelines, reliability, and technical debt.

Deployment velocity and domain expansion

Turn current deployment experience into a repeatable, faster go-to-production engine. Reduce time-to-value for new customers and domains. Capture and productize deployment learnings into platform improvements that compound across every new vertical. The target: a new domain in production in roughly three months, with minimal architecture changes required.

Platform surfaces for partners and ecosystem

Evolve the JazzX platform from internally usable to externally extensible and partner-ready. Mature APIs, integration patterns, configuration models, documentation, and developer experience so partners, portfolio teams, and advanced customers can extend the platform with decreasing reliance on core engineering.

Team & Cross-Functional Leadership

Engineering organization and talent

Lead and scale the engineering organization—including engineering managers, architects, technical leads, and individual contributors across platform, AI/ML, data, infrastructure, and QA. Establish clear ownership, decision-making frameworks, operating cadence, and talent development across a distributed US-India environment.

Cross-functional engineering leadership

Serve as the senior engineering counterpart to Product, GTM, Customer Delivery, and executive leadership. Align roadmap, release priorities, customer commitments, and long-term platform investments so JazzX can move quickly without losing rigor or compounding technical debt.

What we are looking for

The strongest candidates will combine scaled AI-native engineering leadership, strong architectural judgment, production operations experience, and the ability to build both a platform and the organization required to scale it.

Enterprise Platform & Vertical Solution Leadership

Has built or scaled engineering organizations for AI-native enterprise software—owning both a shared platform and the application/solution layers on top.

Navigates the inherent tension between platform investment, product development, and customer delivery without letting any dimension stall. Transitions teams from early-stage experimentation and speed to disciplined, repeatable systems for production at scale. Aligns engineering execution tightly with business growth goals (toward a $1B+ ARR trajectory).

Experience in 0–100 Fast-Growth Startups and High-Growth Scaled Businesses

Has experience scaling a live engineering organization from early-stage to production at s