Role: AWS AI Architect
Experience: 12+ Years
Location: PAN India
Employment Type: Contract / Full-Time
Job Summary
We are seeking an experienced
AWS AI Architect with 12+ years of IT experience and strong expertise in
Generative AI, Amazon Bedrock, Retrieval-Augmented Generation (RAG), LLM architecture, and AWS cloud services. The ideal candidate will be responsible for designing scalable, secure, and enterprise-grade AI solutions leveraging Amazon Bedrock and modern GenAI design patterns.
Required Skills- 12+ years of overall IT experience with strong cloud architecture expertise.
- Hands-on experience with Amazon Bedrock and foundation models.
- Strong knowledge of Generative AI concepts, Large Language Models (LLMs), and AI solution architecture.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- Expertise in GenAI design patterns including:
- RAG
- AI Agents / Agentic AI
- Prompt Engineering
- Function Calling / Tool Use
- Multi-Agent Architectures
- Knowledge Grounding
- Strong experience in designing and integrating REST APIs, microservices, and AI services.
- Hands-on experience with AWS services such as:
- Amazon Bedrock
- Lambda
- API Gateway
- S3
- IAM
- CloudWatch
- Step Functions
- DynamoDB
- OpenSearch
- ECS/EKS (preferred)
- Experience with vector databases and semantic search.
- Knowledge of embedding models, prompt optimization, and AI orchestration frameworks.
- Strong understanding of enterprise architecture, security, governance, and scalability.
- Experience with CI/CD and Infrastructure as Code (Terraform/CloudFormation) is preferred.
Roles & Responsibilities
- Design end-to-end enterprise Generative AI solutions on AWS.
- Architect scalable AI platforms using Amazon Bedrock and foundation models.
- Design and implement RAG pipelines integrating enterprise knowledge sources.
- Define AI solution architecture, API strategy, and system integrations.
- Build reusable AI components and reference architectures.
- Optimize AI applications for performance, latency, scalability, and cost.
- Collaborate with business stakeholders, product teams, and engineering teams to define AI use cases.
- Establish AI governance, security, monitoring, and responsible AI practices.
- Mentor development teams on GenAI architecture and AWS best practices.
Preferred Skills
- Experience with LangChain, LangGraph, or similar orchestration frameworks.
- Experience with Amazon Knowledge Bases for Bedrock.
- Exposure to vector databases such as Pinecone, OpenSearch Vector Engine, FAISS, or Weaviate.
- Knowledge of Python and AI application development.
- Experience with enterprise AI adoption and cloud migration strategies.
- AWS Solution Architect or AWS AI-related certifications are highly preferred.
Skills: bedrock,aws,genai
