Staff AI Architect

🕒 vor 14 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $115.747 - $208.344 / Jahr

⏰ Vollzeit

🔴 Experte

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

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Experian

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1996

🤖 Künstliche Intelligenz

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian entfesselt die Kraft der Daten, um Chancen für Verbraucher, Unternehmen und die Gesellschaft zu schaffen. In den großen Momenten des Lebens – vom Kauf eines Hauses oder Autos über das Studium eines Kindes bis hin zum exponentiellen Wachstum eines Unternehmens durch die Vernetzung mit neuen Kunden – befähigen wir Verbraucher und unsere Kunden, Daten mit Zuversicht zu verwalten, damit sie jede Gelegenheit maximal nutzen können.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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