Staff AI Architect
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Job Description
Staff AI Architect shaping Experian’s cloud-native AWS platform and agentic AI architecture. Governing DevOps, infrastructure, security, reliability, and enterprise architecture standards.
Responsibilities:
- 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:
- 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:
- 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
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