AWS AI Architect - Alameda
2 days ago
Job description
We are seeking an experienced Technical Architect with deep expertise in AWS cloud architecture and Generative AI (GenAI) solutions.The ideal candidate will design and lead the implementation of scalable, secure, and production-grade cloud architectures while integrating advanced GenAI capabilities such as LLM-powered applications, RAG systems, and AI-driven automation.
This role requires strong architectural vision, hands-on AWS experience, and a solid understanding of modern AI ecosystems.5+ years of Strong experience in AWS which should include below services
AWS Lambda
Amazon EC2
Amazon ECS / EKS
Amazon S3
Amazon RDS / Aurora
Amazon DynamoDB
Amazon API Gateway
AWS Step Functions
Amazon OpenSearch
Amazon Bedrock
AWS IAM
AWS CloudFormation / Terraform
Amazon CloudWatch
Experience with serverless and microservices-based architectures.
Multi-region deployment and high-availability design.
Cost optimization and performance tuning.
Experience working with LLMs and GenAI platforms (e.g., OpenAI, Anthropic, open-source LLMs).
Hands-on with Amazon Bedrock and managed AI services.
RAG (Retrieval-Augmented Generation) architecture design.
Vector databases (e.g., OpenSearch, Pinecone, FAISS).
Prompt engineering and evaluation frameworks.
AI model integration into enterprise applications.
Understanding of AI security, guardrails, and compliance.
Design end-to-end cloud-native architectures on AWS aligned with business and technical requirements.
Architect and implement Generative AI solutions using LLMs, RAG pipelines, and AI orchestration frameworks.
Lead technical design discussions and produce high- and low-level architecture documentation.
Define best practices for scalability, security, reliability, and cost optimization.
Design multi-account AWS environments using Well-Architected principles.
Integrate AI services into enterprise systems and microservices architectures.
Provide technical leadership and mentorship to engineering teams.
Establish governance, data security, and responsible AI practices.
Evaluate emerging GenAI technologies and recommend appropriate solutions.
Collaborate with stakeholders, product managers, and DevOps teams to deliver robust solutions.
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