Level

Experian

Staff AI Architect, Remote

AI in this role

langgraphautogensemantic-kernel

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.

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.
  • #LI-Remote

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.

How we rate this

Staff AI Architect, Remote at Experian rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

LangGraphAutoGenSemantic Kernel

Questions you could be asked

  1. What's a project where you used LangGraph hands-on?
  2. Walk me through how you've used AutoGen in your day-to-day work.
  3. What are the limits of Semantic Kernel that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: LangGraph, AutoGen, and Semantic Kernel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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