Staff AI Architect
E
ExperianAI architecture
United StatesFull-TimeStaff
SalaryUSD 115747 - 208344 / year
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Job Details
- Experience
- 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
- Required Skills
- AWSKafkaCI/CDTerraformDistributed Systems
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, including 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 with high availability (≥99.99%), low latency, and elastic scalability under variable production load.
- Experience designing agentic AI architectures, including orchestration layers, agent frameworks such as LangGraph, AutoGen, or Semantic Kernel, tool/API integration, evaluation pipelines, and operational monitoring.
- DevOps and platform engineering expertise with Kubernetes (EKS), Terraform/CDK, Helm, ArgoCD/Flux, CI/CD tools, and container security practices.
- Background in API gateway patterns, including REST, gRPC, and asynchronous event-driven systems.
- Experience establishing SRE practices, including SLO definition, error budgets, runbooks, chaos engineering, and game days.
- Understanding of cloud security architecture, including zero-trust networking, secrets management, SIEM integration, and compliance frameworks such as SOC 2 and ISO 27001.
- Experience with streaming pipelines, data lakes, OLAP/OLTP boundary design, and caching strategies.
- Experience presenting architecture artifacts such as C4 diagrams, sequence diagrams, threat models, and ADRs.
Responsibilities
- Manage and evolve the end-to-end architectural blueprint for cloud-native applications on AWS.
- Define agentic AI architecture patterns and translate them into standards and reusable reference architectures.
- Establish and govern organizational DevOps standards for 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 on high-risk changes.
- Define SLOs/SLIs, error budgets, logging standards, distributed tracing, capacity planning, and incident response frameworks.
- Introduce technologies through PoC and risk assessment processes, and build communities of practice.
- Produce ADRs, system context diagrams, threat models, and runbooks.
- Advise Product and Partners on architectural constraints and capabilities.
- Mentor staff and senior engineers and conduct design reviews.
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