Staff AI Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the technical vision and architectural strategy for the cloud-native platform and agentic AI capabilities.

• Manage and refine the comprehensive architectural blueprint for cloud-native applications at scale, covering compute, data, networking, security, and observability layers on AWS.

• Define and advocate for agentic AI architecture patterns, including multi-agent systems, tool orchestration, memory and retrieval strategies, LLM routing, guardrails, and feedback loops.

• Convert architecture patterns into standards and reusable reference architectures.

• Establish and oversee organizational DevOps standards, encompassing CI/CD, GitOps, deployment strategies, environment parity, and release engineering.

• Design and supervise platform infrastructure, involving ECS, EKS, service mesh, API gateways, secrets management, IAM/RBAC, data stores, and multi-account/multi-region AWS topology.

• Lead architecture reviews and make authoritative technical decisions on high-risk changes.

• Define SLOs, SLIs, error budgets, logging standards, distributed tracing, capacity planning, and incident response frameworks.

• Introduce technologies via structured proofs of concept and risk assessments.

• Foster internal communities of practice around architectural patterns.

• Produce ADRs, system context diagrams, threat models, and runbooks as reliable sources of truth.

• Advise Product and Partners by translating architectural constraints and capabilities into strategic options.

• Mentor staff and senior engineers while conducting design reviews.

⛳️ Requirements

• B.S. or M.S. degree in Computer Science, Systems Engineering, or a related discipline.

• 8+ years of experience in software engineering and systems architecture, including a minimum of 3 years in a dedicated architect or principal engineer role.

• 5+ years of AWS architecture experience at scale, including multi-account organization design, landing zone/Control Tower, VPC design, IAM governance, and cost optimization.

• Experience in architecting highly available distributed systems with at least 99.99% availability, low latency, and elastic scalability.

• Proficiency in designing agentic AI architectures, orchestration layers, and agent frameworks such as LangGraph, AutoGen, Semantic Kernel, or equivalent, along with tool/API integration, evaluation pipelines, and operational monitoring.

• Expertise in DevOps and platform engineering with Kubernetes/EKS, Terraform/CDK, Helm, ArgoCD/Flux, CI/CD tools, and container security practices.

• Familiarity with REST, gRPC, and asynchronous event-driven API gateway patterns.

• Experience in establishing SRE practices, including SLOs, error budgets, runbooks, chaos engineering, and game days.

• Understanding of cloud security architecture, zero-trust networking, secrets management, SIEM integration, and SOC 2/ISO 27001 compliance frameworks.

• Experience with streaming pipelines including Kafka and Kinesis, data lakes, OLAP/OLTP boundary design, and caching strategies using ElastiCache or Redis.

• Proficient in presenting C4 diagrams, sequence diagrams, threat models, and ADRs.

• Experience in scaling engineering organizations through architecture standards, platform investments, and improvements in internal developer experience.

🏝️ Benefits

• Great compensation package and bonus plan.

• Core benefits including medical, dental, vision, and matching 401K.

• Flexible work environment with options for remote, hybrid, or in-office work.

• Flexible time off policy including volunteer time off, vacation, sick leave, and 12 paid holidays.

• Inclusive and purpose-driven culture.

• Comprehensive benefits package.

• Variable pay opportunity.