Staff AI Architect, Remote
概述 我们正在寻找一名工作人员 AI 建筑师,负责领导我们的云原生平台和代理人工智能能力的技术愿景和架构战略。你将塑造我们系统如何在规模上设计和发展。你还将促进整个组织中的基础设施卓越性,推动其设计,部署和进化。你将向高级首席工程师报告。这是一个个人的贡献者职位。责任:·管理并演变云原生应用程序的端到端架构蓝图尺度覆盖 AWS 上的计算,数据,网络,安全和可观测层。· 定义和促进代理 AI 架构模式,包括多代理系统,工具编排,内存和检索策略,LLM 路由,护和反循环。将这些模式转化为相关标准和可重复使用的参考架构。· 在整个组织中建立和管理 DevOps 标准:CI/CD 管道设计,GitOps 实践,部署战略 (蓝色/绿色,加拿大,进步交付),环境平衡和发布工程。· 设计和监督平台基础设施。这包括 ECS,Kubernetes 集群 (EKS),服务网格,API 门口战略,秘密管理,IAM/RBAC 治理以及 DynamoDB,Aurora RDS,Postgres,Elastic/OpenSearch 等数据库。此外,它涉及多账户/多地区的 AWS 拓学。·领导建筑审查并提供有关高风险变化的具有约束力的技术决策。·确定 SLOs/SLIs/错误预算,登记标准,分布式追踪,容量规划和事件响应框架。·通过结构化 PoC 和风险评估过程引入新技术;建立内部社区围绕架构模式实践。· 制作架构决策记录 (ADR),系统背景图表,威胁模型和跑本,作为平台设计的真相来源。· 做产品与合作伙伴的技术顾问将建筑约束和能力转化为明确的战略选择。· 导师人员和高级工程师在架构思维,系统设计和工程领导;对团队进行技术标准升级的设计审查。· 在计算机科学,系统工程或相关学科中获得 BS 或 MS 学位 · 8年以上软件工程和系统体系结构方面的经验。
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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 models, and runbooks that serve as the source of truth for platform design.
- Be a technical advisor to Product and Partners — translating architectural constraints and capabilities into clear strategic options.
- Mentor staff and senior engineers on architectural thinking, systems design, and engineering leadership; conduct design reviews that raise the technical bar across teams.
- 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, with 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 architecting distributed systems and services that sustain high availability (≥99.99%), low latency, and elastic scalability under variable production load.
- Experience designing agentic AI architectures: orchestration layers, agent frameworks (LangGraph, AutoGen, Semantic Kernel, or equivalent), tool/API integration, evaluation pipelines, and operational monitoring of AI systems.
- DevOps and platform engineering expertise: Kubernetes (EKS), Terraform/CDK, Helm, ArgoCD/Flux (GitOps), GitHub Actions/Jenkins/Harness CI/CD, and container security practices.
- Background in API gateway patterns (REST, gRPC, async event-driven).
- Experience establishing SRE practices including SLO definition, error budgets, runbooks, chaos engineering, and game days.
- Grasp of cloud security architecture: zero-trust networking, secrets management (Vault, AWS Secrets Manager), SIEM integration, and compliance frameworks (SOC 2, ISO 27001)
- Experience working across data architecture concerns: streaming pipelines (Kafka, Kinesis), data lakes, OLAP/OLTP boundary design, and caching strategies (ElastiCache, Redis).
- Experience presenting architecture artifacts — C4 diagrams, sequence diagrams, threat models, ADRs
- Experience scaling engineering organizations through architecture standards, platform investment, and internal developer experience improvements.
Benefits/Perks
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here:
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
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Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Originally posted on Himalayas