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As a Senior Staff Engineer at JazzX AI, you will lead technical strategy, mentor teams, oversee engineering initiatives, and drive AI integration within enterprise systems.
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.
Headquartered in Los Altos, CA. Backed by SAIGroup.
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.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platform’s most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.
You will lead the design and evolution of core platform systems, shape long-term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:
- The long-term architecture of JazzX’s AI-native SaaS + PaaS platform
- How AI capabilities are safely, reliably, and audibly operationalized at scale
- Platform reliability, performance, security, and developer experience
- Engineering standards, architectural principles, and technical decision-making across the organization
This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.
What You Will Do1. Platform & System Architecture- Define and evolve the end-to-end architecture for core platform services that power JazzX’s AI-native enterprise system.
- Own architectural decisions across distributed systems, service orchestration, data flows, and platform extensibility.
- Ensure designs balance scalability, reliability, security, privacy, and operational excellence.
- Drive architectural reviews, RFCs, and long-term technical planning across teams.
- Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions
- Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics
- Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.
- Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.
- Guide containerization, orchestration, and Infrastructure-as-Code standards.
- Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.
- Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.
- Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.
- Ensure platform components are modular, composable, and well-documented.
- Act as a force multiplier for engineering velocity across the organization.
- Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.
- Define and enforce SLAs, SLOs, and reliability standards.
- Drive best practices around observability, distributed tracing, alerting, and incident response.
- Continuously improve operational maturity as the platform scales.
- Serve as a senior technical leader influencing platform direction through execution, not hierarchy.
- Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.
- Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.
- Act as a trusted technical advisor to senior engineering and product leadership.
- 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
- Proven track record of owning and evolving complex distributed systems or platform architectures.
- Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
- Strong hands-on experience with containerized environments (Docker, Kubernetes) and modern cloud platforms.
- Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.
- Strong proficiency in Python, with deep experience in at least one of: Java -Primary , Go, or JavaScript.
- Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.
- Ability to make sound architectural decisions under ambiguity and evolving requirements.
- Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
- Strong understanding of observability stacks, metrics, logging, and distributed tracing.
- Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.
- Familiarity with enterprise security, access control, and compliance considerations.
- Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.)
- Hands-on experience with BPMN-based or workflow-driven systems
- Experience building or operating platforms that support AI/ML or data-intensive workloads.
- Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.
- Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms is a strong plus.
- You think in platforms and systems, not just services.
- You lead through technical depth, execution, and influence, not authority.
- You are comfortable owning decisions with long-term architectural consequences.
- You care deeply about production quality, reliability, and maintainability.
- You thrive in environments where the platform is still being defined.
Why Join JazzX AI -
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Top Skills
C++
Docker
Go
Java
JavaScript
Kafka
Kubernetes
Python
PyTorch
TensorFlow
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