AWS Generative AI Architect

Role Overview

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
  .

• Hands‑on experience with LLMs and Generative AI platforms (OpenAI, Anthropic, or open‑source models).

• Experience working with Amazon Bedrock and managed AI services.

• Strong experience designing RAG (Retrieval‑Augmented Generation) architectures.

• 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.