AWS Generative AI Architect

San R&D Business Solutions LLC | Full time

Alameda, United States | Posted on 02/24/2026

We are seeking an experienced AWS Generative AI Architect to design and lead the implementation of scalable, secure, and production-grade cloud solutions integrating advanced Generative AI (GenAI) capabilities.

The ideal candidate will possess deep expertise in AWS cloud architecture
, strong hands‑on experience with LLMs and GenAI platforms
, and the ability to architect enterprise‑grade AI solutions including RAG‑based systems and AI‑driven applications
.

Design and implement end‑to‑end cloud‑native architectures on AWS aligned with business and technical requirements.

Architect and deliver Generative AI solutions leveraging LLMs, RAG pipelines, and AI orchestration frameworks.

Lead technical architecture discussions and create high‑level and low‑level design documentation.

Define and enforce best practices for scalability, security, reliability, and cost optimization
.

Design multi‑account and multi‑region AWS environments following AWS Well‑Architected Framework principles.

Integrate GenAI and AI services into enterprise platforms and microservices‑based applications.

Establish governance standards including AI security, compliance, and responsible AI practices
.

Provide technical leadership, guidance, and mentorship to engineering teams.

Evaluate emerging GenAI technologies and recommend scalable architectural solutions.

Collaborate closely with product, engineering, Dev Ops, and business stakeholders to deliver robust solutions.

• 5+ years of strong hands‑on experience with AWS services including:
• AWS Lambda
• Amazon EC2
• Amazon ECS / EKS
• Amazon S3
• Amazon RDS / Aurora
• Amazon DynamoDB
• Amazon API Gateway
• AWS Step Functions
• Amazon Open Search
• AWS IAM
• Amazon Cloud Watch
• AWS Cloud Formation or Terraform
• Experience with serverless and microservices‑based architectures
  .
• Expertise in multi‑region deployments
  , high availability design, and disaster recovery.
• Strong background in performance optimization and cloud cost management
  .
• Generative AI & LLM Expertise
• Hands‑on experience with LLMs and Generative AI platforms (OpenAI, Anthropic, or open‑source models).
• Experience working with Amazon Bedrock and managed AI services.
• Experience with vector databases such as Open Search, Pinecone, or FAISS.
• Knowledge of prompt engineering
  , evaluation frameworks, and AI model integration.
• Understanding of AI security, guardrails, and compliance considerations
  .

B.E. /

B.Tech in Computer Science, Information Technology, or a related technology field.

• Strong communication and collaboration skills.
• Ability to work effectively with cross‑functional and distributed teams.
• Excellent problem‑solving and architectural decision‑making abilities.
• Leadership mindset with experience guiding engineering teams.