Staff AI Architect, Remote

Role Overview

Overview

We are looking for a Staff AI Architect to lead the technical vision and architectural strategy for our cloud-native platform and agentic AI capabilities. You will shape how our systems are designed and evolved at scale. You will also promote infrastructure excellence across the organization, driving their design, deployment, and evolution at scale. You will report to the Sr. Principal Engineer. This is an individual contributor position.

Responsibilities

• Manage and evolve the end-to-end architectural blueprint for cloud-native applications at scale — covering compute, data, networking, security, and observability layers on AWS.
• Define and promote agentic AI architecture patterns, including multi-agent systems, tool orchestration, memory and retrieval strategies, LLM routing, guardrails, and feedback loops. Translate these patterns into relevant standards and reusable reference architectures.
• Establish and govern DevOps standards across the organization: CI/CD pipeline design, GitOps practices, deployment strategies (blue/green, canary, progressive delivery), environment parity, and release engineering.
• Design and oversee platform infrastructure. This includes ECS, Kubernetes clusters (EKS), service mesh, API gateway strategy, secrets management, IAM/RBAC governance, and data stores like DynamoDB, Aurora RDS, Postgres, Elastic/OpenSearch. Additionally, it involves multi-account/multi-region AWS topology.
• Lead architecture reviews and provide binding technical decisions on high-risk changes — balancing velocity, reliability, cost, and security.
• Define SLOs/SLIs/error budgets, logging standards, distributed tracing, capacity planning, and incident response frameworks.
• Introduce new technologies through structured PoC and risk assessment processes; build internal communities of practice around architectural patterns.
• Produce architecture decision records (ADRs), system context diagrams, threat