AWS Cloud Architect with (GenAI) solutions.
Location: Alameda CA
Duration: FTE
Experience Range - 10- 20 Years Max
Job Description of Role* -
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.
Primary (Must have skills
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.