We are looking for an experienced AWS Solutions Architect with expertise in Generative AI and Amazon Bedrock to design and deliver up-to-date 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
- Foundation Models (Claude, Llama, Titan, etc.)

- Prompt Engineering

- Model evaluation and optimization

- Amazon Bedrock Knowledge Bases





- Guardrails for Amazon Bedrock
- Experience building intelligent AI agent solutions, including:
- 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)
- CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps, AWS CodePipeline)

- Containerized deployments
- 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.

📌 AWS Solution Architect (Jaipur)
🏢 Bot Consulting
📍 Jaipur