Staff Forward Deployment Engineer

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. Staff Forward Deployment Engineer Location: Bengaluru, Karnataka (Hybrid) Role Overview As a Staff Forward Deployment Engineer , you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. You will: Lead customer engagements as the technical owner for a delivery pod. Design and implement production-grade enterprise systems using JazzX’s platform. Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. Partner with product, platform, and research teams across the full solution lifecycle. Act as the primary technical escalation point for customer deployments. Influence platform evolution by feeding real-world learnings back into reusable components and patterns. Set a high engineering bar through hands-on contribution, design leadership, and mentorship. Key Responsibilities Hands-On Software Engineering Write and review production-quality code across backend services, APIs, and orchestration layers. Make architectural decisions balancing scalability, performance, security, and long-term maintainability. Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. Ensure solutions meet production standards for reliability, observability, and operational readiness. Applied GenAI & Agentic Systems Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. Customer Delivery Leadership Lead technical execution for customer POCs, pilots, and production rollouts. Work closely with customer engineering and