Experian Logo

Experian

Staff AI Architect, Remote

Posted 9 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
116K-208K Annually
Senior level
Remote
Hiring Remotely in United States
116K-208K Annually
Senior level
Lead the technical vision and architecture for AWS cloud-native platforms and agentic AI capabilities. Establish standards for distributed systems, DevOps, Kubernetes, GitOps, security, observability, SRE, and data architecture. Govern architecture reviews, technical decisions, infrastructure evolution, and technology evaluations. Create architecture documentation, threat models, runbooks, and reference designs while advising product partners and mentoring senior engineering teams.
The summary above was generated by AI
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

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.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

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 San Jose, California, USA Office

San Jose, United States

Similar Jobs

One Month Ago
Remote
United States
137K-247K Annually
Expert/Leader
137K-247K Annually
Expert/Leader
Big Data • Marketing Tech • Analytics
Lead the architecture and implementation of AWS cloud-native platforms for fraud detection, risk analysis, and digital intelligence. Design scalable, resilient, secure, low-latency REST and event-driven systems using Java, Kubernetes, Kafka, and SQL/NoSQL databases. Set technical strategy and architecture standards, mentor engineers, conduct reviews, and guide multiple teams. Partner with product, data science, security, and business leaders to embed AI and machine learning capabilities, while improving delivery, observability, compliance, and cost efficiency.
Top Skills: AIAmazon DynamodbAmazon Ec2Amazon KinesisAmazon RdsApache KafkaAWSAws LambdaDockerInfrastructure As CodeJavaKubernetesMachine LearningNoSQLRest ApisSpring BootSQL
42 Minutes Ago
Remote
Georgia, USA
Entry level
Entry level
Software • Hospitality
Process invoices, travel agent commissions, charges, credits, and account statements; reconcile subsidiary and general ledgers; monitor and collect outstanding payments; investigate billing discrepancies; audit daily transactions for accuracy and compliance; and calculate monthly Days Sales Outstanding to support credit management and cash flow.
Yesterday
Remote or Hybrid
United States
167K-280K Annually
Senior level
167K-280K Annually
Senior level
Automotive
Leads visual and motion design direction for Ford and Lincoln digital experiences across in-vehicle systems, connected devices, and mobile applications. Establishes design principles, standards, and exemplars; guides complex design work from concept through delivery; partners with UX, product, research, brand, and engineering teams; leads critiques; mentors designers; and ensures cohesive, high-quality experiences across platforms.
Top Skills: 3D Animation ToolsAdobe Creative CloudAfter EffectsFigmaProtopieRive

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account