Experian

Staff AI Architect, Remote

Experian$150K — $180K *
US-AnywhereRemote in United States
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • B.S. or M.S. in Computer Science, Systems Engineering, or related field
  • 8+ years of software engineering/system architecture experience, including 3+ years in an architect/principal engineer role
  • 5+ years of AWS architecture experience at scale with multi-account designs
  • Experience designing distributed systems with high availability and low latency
  • Expertise in designing agentic AI architectures and orchestrating AI systems
  • Proficient in DevOps practices, particularly with Kubernetes, Terraform, and CI/CD tools
  • Solid background in API gateway patterns and establishing SRE practices.

Responsibilities

  • Manage and evolve architectural blueprint for cloud-native applications at scale across various layers on AWS
  • Define and promote agentic AI architecture patterns and translate into standards and reference architectures
  • Establish DevOps standards and oversee CI/CD pipeline design and deployment strategies
  • Design and oversee platform infrastructure including ECS, EKS, and data stores
  • Lead architecture reviews and provide technical decisions on high-risk changes
  • Define SLOs/SLIs and establish logging standards and incident response frameworks
  • Introduce new technologies via structured PoC processes and build communities around architectural patterns
  • Produce comprehensive architectural documentation including ADRs and threat models.

Benefits

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and a matching 401K
  • Flexible work environment with options for remote, hybrid, or in-office work
  • Flexible time off policies including volunteer time off, vacation, sick leave, and 12 paid holidays
  • Access to a comprehensive benefits package
Full Job Description
Job Description

Overview

We are looking for a Staff Software Architect to lead the technical vision and architectural strategy for our cloud-native platform and agentic AI capabilities. You will help 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

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 (6499.99%), 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 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.

Videos To Watch
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About Experian

Experian is a global information services company that provides data and analytical tools to clients around the world. The company was founded in 1996 and is headquartered in Dublin, Ireland. Experian operates in four main business areas: Credit Services, Decision Analytics, Marketing Services, and Consumer Services. The company provides credit reporting services to businesses and consumers, helping them to make informed decisions about credit and financial risk. Experian also provides data and analytics to help businesses manage risk, prevent fraud, and improve their marketing efforts. The company has operations in 45 countries and serves clients in more than 100 countries.
Learn more about Experian
Size
51,493 employees
Industry
Founded
1980
NASDAQ

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