Chief Platform Architect & AI Systems Lead

Devsavant; United States; Hybrid; USD 150,000 - 190,000; Full time

Job summary

DevSavant is seeking a senior platform architect to lead the design and delivery of our Managed AI Agents core platform. You will own the architecture, write critical code, and guide a distributed team of senior engineers through clear technical standards.

Starting with the core platform and expanding into new modules, you will shape integrations, data models, security, and runbooks, while engaging directly with clients and design partners to align technical direction with business priorities.

Qualifications

• 8+ years of production software experience with hands-on ownership of a major system's architecture.
• Deep experience in TypeScript and Node.js ecosystems, modern frontends (React, Remix / React Router v8, Tailwind, ShadCN), relational ORMs (Drizzle), validation tools (Zod), databases (PostgreSQL, Redis), and queueing systems (PgBoss).
• Production LLM Agent Systems: Proven track record shipping and operating real LLM agent systems, not just prototypes.
• RAG & Engineering Depth: Deep understanding of RAG pipelines, chunking strategies, and vector data workflows.
• Production Infrastructure Ownership: Experience managing uptime, running CI/CD, setting up observability, and handling production incidents end to end.
• Cloud Architecture (AWS or GCP): Proven experience making and defending decisions around platform hosting and runtimes.
• Production API Integrations: Experience with complex third‑party API environments involving webhooks, incremental polling, idempotency, retries, data normalization, and data reconciliation.
• Data Modeling: Strong experience with relational and event‑driven data designs where data accuracy is the priority.
• Multi‑Tenant SaaS Security: Practical experience with tenant isolation, secrets hygiene, least‑privilege access control, and audit logs.
• Written‑First Leadership: Ability to write clear, complete technical specifications that allow remote engineering teams to execute high‑quality work asynchronously.
• Communication: Excellent written and spoken English and Spanish.

Responsibilities

• Whole-Platform Architecture: Design how client systems connect, how data is normalized and stored, how information is served to dashboards and AI agents, and how new client tools get integrated efficiently. You will be hands-on, building the primary framework skeletons yourself.
• Production AI Agent Systems: Handle agent design, tool usage, guardrails, evaluations, and monitoring for agents executing business workflows with human oversight.
• Cloud & Infrastructure Direction: Lead deployment architecture, CI/CD, observability, and cost management. The platform runs on containerized infrastructure today; deciding where the runtime should live long-term is one of your first major projects.
• Security & Multi-Tenant Architecture: Own tenant isolation, secrets management, least‑privilege access, and audit trails for a platform handling financial data. You define the standards, and the team implements them.
• Technical Leadership: Set code standards, conduct reviews, and guide a distributed bench of senior engineers through clear written specifications.
• Client Engagement: Serve as the technical point of contact with clients and design partners when complex architectural discussions require it.

Skills

Platform architecture

TypeScript / Node.js

LLM agent systems

Cloud architecture

Multi-tenant security

Data modeling

API integrations

CI/CD / Observability

Technical leadership

English + Spanish communication

Written specifications

Tools

PgBoss

Drizzle ORM

Zod

Tailwind

Remix

React Router v8

Prometheus

Grafana

Job description

DevSavant is seeking a senior platform architect to lead the design and delivery of our Managed AI Agents core platform. You will own the architecture, write critical code, and guide a distributed team of senior engineers through clear technical standards.

Starting with the core platform and expanding into new modules, you will shape integrations, data models, security, and runbooks, while engaging directly with clients and design partners to align technical direction with business priorities.