资深AI架构师
Staff AI Architect
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们在多个市场运营，包括金融服务、医疗保健、汽车、农业、保险等。Experian 投资于人才和先进的新技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名优秀员工。
#### 职位描述
**概述**
我们正在寻找一名 **资深 AI 架构师**，负责我们云原生平台和代理 AI 能力的技术愿景和架构策略。你将塑造我们的系统在大规模下的设计和演进方式。你还将推动组织内的基础设施卓越，驱动其在大规模下的设计、部署和演进。你将向高级首席工程师汇报。这是一个独立贡献者职位。
**职责：**
- 管理并演进云原生应用的端到端架构蓝图 —— 涵盖 AWS 上的计算、数据、网络、安全和可观测性层。
- 定义并推广代理 AI 架构模式，包括多代理系统、工具编排、记忆与检索策略、LLM 路由、防护措施和反馈循环。将这些模式转化为相关标准和可重用的参考架构。
- 在整个组织中建立和管理 DevOps 标准：CI/CD 流水线设计、GitOps 实践、部署策略（蓝绿、灰度、渐进交付）、环境一致性以及发布工程。
- 设计并监督平台基础设施。这包括 ECS、Kubernetes 集群（EKS）、服务网格、API 网关策略、密钥管理、IAM/RBAC 治理，以及 DynamoDB、Aurora RDS、Postgres、Elastic/OpenSearch 等数据存储。此外，还包括多账户/多区域的 AWS 拓扑结构。
- 主导架构评审，并对高风险变更做出具有约束力的技术决策 —— 平衡速度、可靠性、成本和安全性。
- 定义 SLO/SLI、错误预算、日志标准、分布式追踪、容量规划和事件响应框架。
- 通过结构化的 PoC 和风险评估流程引入新技术；围绕架构模式建立内部实践社区。
- 生成架构决策记录（ADRs）、系统上下文图、威胁模型和操作手册，作为平台设计的权威来源。
- 成为技术顾问，为团队提供专业支持和指导。
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#### Company Description
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.
#### Job Description
**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.
#### Qualifications
- 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.
- #LI-Remote
#### Additional Information
**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: [https://yourexperianbenefits.com/cand-index.html](https://yourexperianbenefits.com/cand-index.html)
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.
**Recruitment Fraud Awareness** - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ .
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.