AWS Cloud Architect with (GenAI) Solutions

NOTE:

Any independent visa is fine (No H1Bs, No C2C)

Open for FTE/C2H (W2 only). 

Experience Range - 10- 20 Years Max

Primary skills writeup with exact no. of years is mandatory for all submissions.

Title: AWS Cloud Architect with (GenAI) Solutions

Location: Onsite (Alameda, CA)

Duration: Fulltime Position/C2H

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.

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.