12 дней назад
Principal Architect (AWS/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Architect (AWS/AI): Defining and implementing a greenfield cloud-native engineering platform across application, data, AI/ML, and infrastructure layers with an accent on serverless AWS architecture, lakehouse data platforms, and production-grade LLM integration. Focus on making binding architectural decisions, designing distributed systems, and building reliable Bedrock, SageMaker, RAG, and event-driven platform components.
Location: Plano, Texas, United States. Must already have the right to work in the United States and must not require current or future immigration sponsorship.
Company
Toyota Financial Services, part of , provides finance and insurance services for Toyota and Lexus customers.
What you will do
- Own the end-to-end reference architecture for a greenfield cloud-native engineering platform across application, data, AI/ML, and infrastructure layers.
- Make and document binding architectural decisions through RFCs, ADRs, design documents, and technical design reviews.
- Define standards for APIs, infrastructure as code, security, observability, testing, and deployment safety.
- Design shared infrastructure modules, API frameworks, data pipeline foundations, and AI/ML integration layers using production-quality code.
- Architect S3-based lakehouse patterns, event-driven streaming pipelines, analytical platforms, and integrations with Bedrock, SageMaker, and RAG workflows.
- Mentor senior engineers, influence engineering and product leadership, resolve complex distributed-system failures, and support hiring for senior technical roles.
Requirements
- 10+ years of software engineering experience, including at least 5 years as a hands-on architect or principal-level individual contributor on AWS platforms.
- Proven ownership of full-platform architecture decisions in production and experience influencing multiple engineering teams.
- Deep hands-on experience with serverless AWS services, including Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, DynamoDB or Aurora Serverless, S3, and CloudFront.
- Experience with multi-account AWS governance, IAM, infrastructure as code, S3 lakehouse architecture, streaming pipelines, data governance, and distributed observability.
- Practical experience integrating Bedrock, SageMaker, or equivalent AI/ML services, including agentic workflows, RAG pipelines, structured outputs, guardrails, and model observability.
- Bachelor’s degree in computer science or a related field, or equivalent practical experience; strong written and verbal communication skills.
Nice to have
- Experience in financial services, banking, or insurance, including compliance, data residency, and auditability requirements.
- Master’s degree, AWS certifications, data mesh or data product experience, and responsible AI expertise.
- Experience with CI/CD at platform scale, open standards, internal frameworks, open-source projects, or GraphQL federation.
Culture & Benefits
- Collaborative, respectful, and flexible work environment.
- Professional growth programs and tuition reimbursement.
- Comprehensive health care and wellness plans, paid holidays, and paid time off.
- Toyota 401(k) plan with company matching and an annual retirement contribution when applicable.
- Vehicle purchase and lease programs, tax-advantaged accounts, family support services, and relocation assistance when applicable.
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