AWS AI Solutions Architect

HypTechie; India; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

HypTechie is seeking a hands-on AWS AI Solutions Architect to design and build production-ready AI agents and scalable cloud solutions across Pan India. You will integrate LLMs, manage AWS services, and implement robust CI/CD and IaC practices.

Ideal candidates have 12+ years in AWS architecture, deep knowledge of agent frameworks (LangGraph, AutoGen, Bedrock), and strong Python/TypeScript skills. Strong communication and problem-solving abilities are essential.

Qualifications

• Hands-on AWS architecture and development
• Expertise in Agentic AI workflows and agent frameworks (LangGraph, AutoGen, Bedrock)
• Experience with AWS services: API Gateway, Lambda, DynamoDB, RDS/Aurora, S3, IAM, CloudWatch
• LLM integration and production application development
• Proficiency in Python and/or TypeScript/Node.js
• REST APIs, CI/CD, and Infrastructure as Code (CDK, CloudFormation, Terraform)
• Strong communication and problem-solving skills

Responsibilities

• Design and implement Agentic AI workflows and multi-step agents
• Integrate AWS services (API Gateway, Lambda, Step Functions, DynamoDB, RDS/Aurora, S3)
• Incorporate LLMs from Bedrock, OpenAI, and Anthropic
• Develop production-ready code in Python and/or TypeScript/Node.js
• Apply API security, monitoring, CI/CD, and IaC
• Ensure scalability, performance, and cost optimization of agents

Skills

AWS architecture

Agentic AI workflows

Python

TypeScript/Node.js

REST APIs

CI/CD

Infrastructure as Code

communication skills

Tools

LangGraph

AutoGen

Bedrock

Terraform

CloudFormation

AWS CDK

Job description

Experience: 12+ Years
Job ID: 1497728
Location: Pan India

Job Summary

We are looking for a hands-on AWS AI Solutions Architect with strong expertise in AWS architecture, software development, and Agentic AI workflows. The candidate will design and build production-ready AI agents, integrate LLMs, and develop scalable, secure cloud solutions.

Key Responsibilities

• Design and develop Agentic AI workflows, multi-step agents, tool usage, and orchestration.
• Build and integrate AWS services including API Gateway, Lambda, Step Functions, DynamoDB, RDS/Aurora, and S3.
• Integrate LLMs and foundation models such as Amazon Bedrock, OpenAI, and Anthropic.
• Develop production-quality code using Python and/or TypeScript/Node.js.
• Implement API security, monitoring, testing, CI/CD, and infrastructure as code.
• Ensure agent safety, performance, scalability, and cost optimization.

Mandatory Skills

• Strong hands-on experience in AWS architecture and development.
• Expertise in Agentic AI workflows and agent frameworks such as LangGraph, AutoGen, or Bedrock Agents.
• AWS API Gateway, Lambda, DynamoDB, RDS/Aurora, S3, IAM, and CloudWatch.
• LLM integration and production application development.
• Python and/or TypeScript/Node.js.
• REST APIs, CI/CD, and infrastructure as code (CDK, CloudFormation, or Terraform).
• Strong communication and problem-solving skills.

Good-to-Have Skills

• Retrieval-Augmented Generation (RAG) and vector databases.
• AI guardrails, evaluation frameworks, and agent observability.
• Insurance or financial services domain knowledge.
• AWS Solutions Architect or AI/ML certifications.