Senior Architect

About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems — ERPs, CRMs, billing platforms, HRIS — and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.

We deploy on customer terms — SaaS multi-tenant, SaaS single-tenant, and on-premises — across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

We are looking for an Architect / Senior Architect to own the end-to-end technical architecture of our AI-native, multi-cloud-ready, multi-tenant-ready platform. You are the highest technical authority on how the platform is built.

You own the architecture across every layer — from the customer-hosted data foundation, through the core computation and AI services, to the application and review experience — and the contracts that hold them together. You set the standards, make the build-vs-configure calls, and keep the system portable across customers, domains, and clouds.

This is a hands-on architecture role, not an ivory-tower one: you write reference implementations, run design reviews, and sit in tight loop with Product, founders, and customer stakeholders to align architecture with a fast-moving domain.

What makes this role different

You are not architecting generic SaaS. You are designing a system that deploys into enterprise finance environments and produces output that sits next to externally reported financials — which means correctness, traceability, and auditability are first-class architectural requirements, with strong guardrails that keep verifiable results clearly separated from AI-generated suggestions that require human review, plus the data isolation and multi-cloud portability that Fortune 500 finance teams demand.

• 10+ years building production backend or data systems. Including significant time at Staff, Principal, or Architect level, where you owned system-level design decisions end to end.
• Multi-tenant, cloud-native platform design. You've architected platforms with strong tenant isolation and security. Ideally, some of them deployed into a customer's own cloud account or data center.
• Deep fluency in at least two of AWS, Azure, and Google Cloud. Plus hands-on Kubernetes and Terraform, and a habit of designing for portability rather than lock-in.
• A gift for configuration-driven abstractions. You design systems where onboarding a new customer or business domain is a configuration change, not a code fork.
• Data depth across the stack. Relational and warehouse data modeling, strong SQL, and backend service design.
• Practical ML and LLM fluency. Enough to architect how models and managed LLMs (such as Bedrock, Vertex AI, or Azure OpenAI) plug into a production system safely.
• Instincts for correctness, traceability, and auditability. You treat "where did this number come from?" as an architectural requirement, and you keep verified results clearly separate from AI-generated suggestions.
• Hands-on technical leadership. You write reference implementations, run design reviews, resolve cross-team trade-offs, and mentor senior engineers.
• Close partnership with Product, founders, and customers. You translate business and domain logic into reusable platform components and can hold your own in enterprise architecture and security reviews.
• Hybrid in the San Francisco Bay Area. You'll work in person regularly with the founders and product team.

Nice-to-haves

• Finance, accounting, or fintech background. You understand how financial statements are built and reconciled, and the controls and audit expectations around them.
• Modern data stack experience. dbt or Airflow-style transformation pipelines, and Snowflake or PostgreSQL in production.
• Enterprise compliance experience. You've supported SOC 2 or ISO 27001 audits and customer security reviews.
• Shipping into environments you don't control. You've built platforms that install and upgrade cleanly in customer-managed clouds or on-premises.