AI AWS Technical Architect

Job Title: AI AWS Technical Architect

Experience: 6-8 Years

Job Type: Full-Time

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.

• Strong expertise in:

• AWS Cloud Architecture

• Generative AI

• Large Language Models (LLMs)

• AI/ML Solution Design

• Hands‑on experience with:

• Amazon Bedrock

• Sage Maker

• AWS Lambda

• Amazon EKS

• API Gateway

• Strong programming expertise in:

• Python

• Node.js

• Experience with:

• Lang Chain

• Auto Gen

• Lang Graph

• Agentic AI frameworks

• Strong understanding of:

• RAG architectures

• Embeddings

• Vector databases

• Prompt engineering

• Experience with vector databases such as:

• Qdrant

• Pinecone

• Open Search

• MongoDB Atlas Vector Search

• Expertise in:

• CI/CD pipelines

• MLOps

• Kubernetes

• Containerization

• Strong understanding of:

• Responsible AI

• AI governance

• Security best practices

• Fin Ops optimization

• 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, Dev Ops, product, and business teams to drive AI initiatives

• Mentor technical teams and provide architectural guidance across AI programs

• 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