AWS Cloud Architect with - Alameda County, CA

Job Title: · AWS Cloud Architect with (GenAI) solutions. · Location: · Alameda CA · Job Type: · FTE · Job Description: · Educational Qualification: B.E/B.Tech Graduate in the field of Technology · Experience Range Years Max · Primary (Must have skills · 5+ years of Strong experie ...

Job description

Job Title:
AWS Cloud Architect with (GenAI) solutions.

Location:
Alameda CA

Job Type:
FTE

Job Description:

Educational Qualification: B.E/B.Tech Graduate in the field of Technology

Experience Range Years Max

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.

Soft skills/other skills
- To be Evaluated by Hiring Manager (To define how this will be evaluated) Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.

Expected Outcome
- 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.

Key Fields

Inputs

Educational Qualification*

B.E/B.Tech Graduate in the field of Technology

Experience Range

10-12 Years

Primary (Must have skills)* - To be Screened by TA Team

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* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)

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.

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.

Expected Outcome

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.