Staff AI Architect

Experian

. Lead the technical vision and architectural strategy for Experian’s cloud-native platform and agentic AI capabilities .

Posted 9/24/2026full-timeRemote • California • United StatesLead💰 $115,747 - $208,344 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AWS architecture, agentic AI design, and DevOps standards, with a strong focus on building scalable, secure, and high-performance cloud-native applications. Proven ability to lead architectural strategy, mentor engineering teams, and establish best practices in systems architecture.

Highest-signal resume keywords

AWS Architecture ExperienceAgentic AI Architecture DesignKubernetes (EKS) ExpertiseDevOps Standards EstablishmentSRE Practices Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSystems ArchitectureDistributed Systems DesignCloud-Native Application DevelopmentCI/CD ImplementationTerraform/CDKAPI Gateway PatternsData Lake DesignSecrets ManagementCost Optimization

Soft Skills

MentoringTechnical LeadershipStrategic AdvisingCommunity BuildingDesign Review Facilitation

Tools & Technologies

ECSEKSHelmArgoCD/FluxKafkaKinesisRedisSIEM IntegrationZero-Trust NetworkingControl Tower

Certifications & Qualifications

B.S. or M.S. in Computer ScienceSystems Engineering

Industry Keywords

Cloud-Native PlatformAgentic AI CapabilitiesDevOpsSLOsError BudgetsISO 27001 ComplianceSOC 2 ComplianceObservabilityIncident ResponseArchitecture Standards

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsFluxGRPCKafkaKubernetesRedisTerraform

About the role

Key responsibilities & impact

Lead the technical vision and architectural strategy for Experian’s cloud-native platform and agentic AI capabilities
Manage and evolve end-to-end architectural blueprints for AWS cloud-native applications across compute, data, networking, security, and observability
Define and promote agentic AI architecture patterns, standards, and reusable reference architectures
Establish and govern DevOps standards, including CI/CD, GitOps, deployment strategies, environment parity, and release engineering
Design and oversee platform infrastructure including ECS, EKS, service mesh, API gateways, secrets management, IAM/RBAC, data stores, and multi-account/multi-region AWS topology
Lead architecture reviews and make binding technical decisions for high-risk changes
Define SLOs, SLIs, error budgets, logging, distributed tracing, capacity planning, and incident response frameworks
Introduce new technologies through proof-of-concept and risk assessment processes
Build internal communities of practice around architectural patterns
Produce ADRs, system context diagrams, threat models, and runbooks as sources of truth
Advise Product and Partners by translating architectural constraints and capabilities into strategic options
Mentor staff and senior engineers and conduct design reviews

Requirements

What you’ll need

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
3+ years in a dedicated architect or principal engineer role
5+ years of AWS architecture experience at scale
Experience with multi-account AWS organization design, landing zones/Control Tower, VPC design, IAM governance, and cost optimization
Experience architecting highly available distributed systems with low latency and elastic scalability
Experience designing agentic AI architectures, including orchestration layers, agent frameworks, tool/API integration, evaluation pipelines, and operational monitoring
Expertise in Kubernetes (EKS), Terraform/CDK, Helm, ArgoCD/Flux, CI/CD tools, and container security
Experience with REST, gRPC, and asynchronous event-driven API gateway patterns
Experience establishing SRE practices, including SLOs, error budgets, runbooks, chaos engineering, and game days
Knowledge of zero-trust networking, secrets management, SIEM integration, and SOC 2/ISO 27001 compliance frameworks
Experience with Kafka, Kinesis, data lakes, OLAP/OLTP boundary design, ElastiCache, and Redis
Experience presenting C4 diagrams, sequence diagrams, threat models, ADRs, and runbooks
Experience scaling engineering organizations through architecture standards, platform investment, and internal developer experience improvements

Benefits

Comp & perks

Great compensation package and bonus plan
Medical, dental, and vision benefits
Matching 401(k)
Flexible work environment with remote, hybrid, or in-office options
Flexible time off, including volunteer time off, vacation, sick time, and 12 paid holidays
Variable pay opportunity
Comprehensive benefits package
Inclusive and purpose-driven culture