A leading technology solutions provider in California is seeking an experienced AWS Generative AI Architect. The ideal candidate will have extensive experience in AWS architecture and Generative AI solutions, including designing scalable, production-grade cloud architectures. This role involves guiding the technical design discussions, implementing LLM-based applications, and integrating advanced AI capabilities into enterprise systems. Strong collaboration and communication skills are essential, as is the ability to mentor engineering teams in best practices.
Qualifications
10+ years of experience.
5+ years of strong experience in AWS.
Experience with LLMs and GenAI platforms.
Responsibilities
Architect and implement Generative AI solutions using LLMs.
Design end-to-end cloud-native architectures on AWS.
Lead design discussions and produce architecture documentation.
Skills
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
Generative AI platforms experience
Prompt engineering skills
Education
B.E/B.Tech in Technology
Job description
Job Title
AWS Generative AI Architect
Location
Alameda, CA (Locals)
Experience
10+ years
Position Type
Contract W2/C2C
Core Qualifications
B.E/B.Tech Graduate in the field of Technology
Experience Range
14 Years
Primary (Must have skills)* - To be Screened by TA Team
5+ years of Strong experience in AWS which should include below services
AWS Skills
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.
Generative AI Experience
Experience working with LLMs and GenAI platforms (e.g., OpenAI, Anthropic, open-source LLMs).
Hands‑on with Amazon Bedrock and managed AI services.
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.