AWS Solution Architect

BOT Consulting; Jaipur; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

BOT Consulting is seeking an experienced AWS Solutions Architect in Jaipur to design and deliver enterprise AI solutions on AWS, including Bedrock and GenAI capabilities. You will work with business stakeholders and engineering teams to define architectures, run technical workshops, and guide migrations and modernization efforts.

The role demands hands-on AWS expertise, strong knowledge of Bedrock, RAG, AI agents, and security-focused, cost-optimized designs.

Qualifications

• 8+ years designing, architecting, and delivering enterprise cloud solutions.
• Minimum 2 years hands-on AWS cloud architecture experience.
• Experience in customer-facing consulting, professional services, or solution architecture roles.
• Proven ability to design secure, scalable, highly available, and cost-optimized cloud solutions.
• Experience leading technical discussions, architecture reviews, and customer workshops.
• Hands-on experience designing and implementing Generative AI solutions using AWS Bedrock, RAG, AI agents.
• Experience with Terraform and/or CloudFormation.

Responsibilities

• Lead customer discovery sessions, workshops, and architecture discussions.
• Design secure, scalable, cost-optimized AWS cloud solutions.
• Architect and implement enterprise Generative AI solutions using Bedrock and foundation models.
• Guide customers through cloud modernization, application migration, and AI adoption initiatives.
• Prepare High-Level Designs (HLDs), Low-Level Designs (LLDs), architecture diagrams, SOWs, and technical proposals.
• Define best practices for security, governance, observability, and operational excellence.
• Collaborate with DevOps, FinOps, Data Engineering, AI, and Delivery teams to ensure successful project execution.
• Mentor engineering teams on AWS architecture, cloud-native design patterns, and Generative AI implementation.
• Stay current with emerging AWS services, AI technologies, and industry best practices.

Skills

AWS architecture

Customer-facing consulting

Architecture reviews

Technical workshops

Generative AI implementations

AI agent design

Security governance

Cost optimization

Multi-region deployments

Observability

Tools

EC2

Lambda

ECS/Fargate

VPC

Route 53

API Gateway

S3

RDS

DynamoDB

Step Functions

EventBridge

IAM

Secrets Manager

KMS

CloudWatch

X-Ray

Terraform

CloudFormation

Bedrock

LangChain

LangGraph

LlamaIndex

CrewAI

SageMaker

Kubernetes

EKS

Job description

We are looking for an experienced AWS Solutions Architect with expertise in Generative AI and Amazon Bedrock to design and deliver modern cloud-native AI solutions for enterprise customers.

In this customer-facing role, you will work closely with business stakeholders, engineering teams, and cloud architects to define solution architectures, lead technical workshops, and implement secure, scalable, and cost-efficient AI applications on AWS. The ideal candidate combines strong AWS architecture experience with hands-on expertise in Bedrock, Retrieval-Augmented Generation (RAG), AI agents, and cloud-native application design.

Key Responsibilities

• Lead customer discovery sessions, technical workshops, and architecture discussions.
• Design secure, scalable, resilient, and cost-optimized AWS cloud solutions.
• Architect and implement enterprise Generative AI solutions using Amazon Bedrock and foundation models.
• Guide customers through cloud modernization, application migration, and AI adoption initiatives.
• Prepare High-Level Designs (HLDs), Low-Level Designs (LLDs), architecture diagrams, Statements of Work (SOWs), and technical proposals.
• Define best practices for security, scalability, governance, observability, and operational excellence.
• Collaborate with DevOps, FinOps, Data Engineering, AI, and Delivery teams to ensure successful project execution.
• Act as a trusted technical advisor throughout the customer engagement lifecycle.
• Mentor engineering teams on AWS architecture, cloud-native design patterns, and Generative AI implementation.
• Stay current with emerging AWS services, AI technologies, and industry best practices.

Requirements

Required Skills & Experience

• 8+ years of experience designing, architecting, and delivering enterprise cloud solutions.
• Minimum 2 years of hands-on experience with AWS cloud architecture.
• Experience in customer-facing consulting, professional services, or solution architecture roles.
• Proven ability to design secure, scalable, highly available, and cost-optimized cloud solutions.
• Experience leading technical discussions, architecture reviews, and customer workshops.
• Strong expertise in designing and implementing solutions using AWS services, including:
• Compute: EC2, Lambda, ECS/Fargate
• Networking: VPC, Route 53, API Gateway
• Storage & Databases: S3, RDS, DynamoDB
• Integration & Orchestration: Step Functions, EventBridge
• Security & Identity: IAM, Secrets Manager, KMS
• Monitoring & Observability: CloudWatch, AWS X-Ray
• Hands-on experience designing and implementing Generative AI solutions using AWS services.
• Experience with:
• Amazon Bedrock
• Prompt Engineering
• Model evaluation and optimization
• Amazon Bedrock Knowledge Bases
• Guardrails for Amazon Bedrock
• Agentic workflows and autonomous task execution
• Tool calling and external API integrations
• Memory management and multi-step reasoning
• Workflow orchestration using AWS services
• Designing scalable, reliable, and low-latency AI applications
• Experience with:
• Infrastructure as Code (Terraform and/or AWS CloudFormation)
• Multi-region deployments and release strategies
• Strong understanding of:
• Cloud monitoring and observability
• Performance optimization and troubleshooting
• Cost optimization for AWS and Generative AI workloads
• Security best practices, IAM policies, encryption, and API key management
• Governance, compliance, and data privacy for AI applications
• Working knowledge of one or more programming languages:
• Python (Preferred)
• TypeScript
• Java or Node.js
• Experience integrating cloud applications with enterprise platforms and APIs.

Preferred Qualifications

• AWS Certified Solutions Architect - Professional or Associate.
• AWS Certified AI Practitioner or Machine Learning Specialty (preferred).
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI frameworks.
• Experience deploying production-grade Generative AI applications on AWS.
• Exposure to MLOps, Kubernetes (EKS), or SageMaker is an advantage.