AI AWS Technical Architect

Job Title: AI AWS Technical Architect

Experience: 6-8 Years

Job Type: Full-Time

Job Summary

We are seeking an experienced AI AWS Technical Architect with strong expertise in designing and implementing enterprise-scale AI/ML and Generative AI solutions on AWS cloud platforms. The ideal candidate will possess hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud-native AI architectures, MLOps, and scalable distributed systems.

This role requires strong technical leadership, architecture design capabilities, and hands-on engineering expertise to deliver secure, scalable, and high-performance AI-driven applications.

Required Skills

• Strong expertise in:
  • AWS Cloud Architecture
  • Generative AI
  • Large Language Models (LLMs)
  • AI/ML Solution Design
• Hands-on experience with:
  • Amazon Bedrock
  • SageMaker
  • AWS Lambda
  • Amazon EKS
  • API Gateway
• Strong programming expertise in:
  • Python
  • Node.js
• Experience with:
  • LangChain
  • AutoGen
  • LangGraph
  • Agentic AI frameworks
• Strong understanding of:
  • RAG architectures
  • Embeddings
  • Vector databases
  • Prompt engineering
• Experience with vector databases such as:
  • Qdrant
  • Pinecone
  • OpenSearch
  • MongoDB Atlas Vector Search
• Expertise in:
  • CI/CD pipelines
  • MLOps
  • Kubernetes
  • Containerization
• Strong understanding of:
  • Responsible AI
  • AI governance
  • Security best practices
  • FinOps optimization

Key Responsibilities

• Design and architect scalable AI/ML and Generative AI solutions on AWS cloud
• Build and implement RAG-based enterprise AI systems using LLMs and vector databases
• Develop AI orchestration workflows and agentic AI solutions using modern AI frameworks
• Architect scalable cloud-native AI infrastructure leveraging AWS services
• Define embedding strategies, prompt engineering standards, and retrieval optimization techniques
• Establish MLOps practices including:
  • CI/CD pipelines
  • Model deployment
  • Monitoring
  • Lifecycle management
• Implement security, governance, and Responsible AI best practices
• Optimize AI systems for:
  • Performance
  • Reliability
  • Cost efficiency
  • Scalability
• Collaborate with engineering, DevOps, product, and business teams to drive AI initiatives
• Mentor technical teams and provide architectural guidance across AI programs

Preferred Qualifications

• Experience building enterprise AI platforms and distributed systems
• AWS Certifications preferred:
  • AWS Solutions Architect
  • AWS Machine Learning Specialty
• Exposure to Kubernetes and cloud-native deployment patterns
• Strong communication and stakeholder management skills