Job Description
We’re Hiring: AWS Cloud & Gen AI Solution Architect
Are you passionate about building AI-enabled, cloud-native architectures on AWS? Do you enjoy working with Gen AI, LLMs, and scalable serverless platforms? We are looking for an experienced AWS Cloud & Gen AI Solution Architect to join our team and lead next-generation cloud and AI initiatives.
Role & Responsibilities
Architecture & Solutioning
- Design highly available, scalable, secure, and optimized AI-enabled cloud architectures on AWS.
- Architect solutions using LLMs, Agentic AI, and AWS services such as Amazon Bedrock and Sage Maker.
- Design and implement event-driven architectures using API Gateway, Lambda, Step Functions, SQS/SNS, Dynamo DB Streams, Code Build, etc.
- Define and execute cloud adoption, modernization, and migration strategies.
- Integrate AWS services (including cross-account) using AWS SDKs for governance, automation, and provisioning.
Frameworks & Reusable Platforms
- Build reusable frameworks to accelerate cloud-native and Gen AI-based solution delivery.
- Develop accelerators for serverless applications, CI/CD pipelines, AI inference workflows, and infrastructure provisioning.
Dev Ops, Automation & Governance
- Implement Infrastructure as Code (Ia C) using AWS Cloud Formation (expert level), CDK, or Terraform.
- Build CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy.
- Enable cloud security, monitoring, logging, observability, and compliance best practices.
- Contribute to Landing Zone / Control Tower design and multi-account governance.
AI / LLM Enablement
- Architect and integrate Gen AI and LLM-based features into enterprise applications.
- Build RAG-based solutions, embeddings pipelines, prompt management layers, and inference workflows.
- Evaluate and guide adoption of new AWS AI services including Bedrock models, Agents, Guardrails, and fine-tuning.
- Advise on model selection, tuning, vector indexing, cost, latency, and scalability.
Leadership & Collaboration
- Mentor engineering teams and ensure high-quality solution delivery.
- Support WBS creation, estimations, and SOW preparation.
- Drive Po Cs/Po Vs with strong business justification.
- Participate in architecture governance and design reviews.
Mandatory Skills
- 12+ years of overall experience with 10+ years in AWS application/solution architecture.
- Strong hands-on expertise in AWS serverless and event-driven services.
- Experience integrating AI/LLM solutions using AWS Bedrock, Sage Maker, Open Search, or similar.
- Strong background in AWS compute, networking, security, storage, deployment, and automation.
- Expertise with AWS SDKs and programmatic service consumption.
- Application development experience in Node.js or Python.
- Deep experience with AWS Cloud Formation and AWS-native CI/CD.
- Strong understanding of cloud security, networking, and best practices.
- Excellent communication, presentation, and stakeholder management skills.
Good to Have
- Experience with prompt engineering, embeddings, and vector stores (Open Search, Dynamo DB, Redis).
- Advanced Dynamo DB patterns (global tables, streams, TTLs).
- Exposure to AWS RDS, Service Catalog, enterprise governance tooling, and cross-account frameworks.
Location: Hybrid
Experience: 12+ Years
☁️ Skills: AWS | Gen AI | Bedrock | Serverless | Cloud Architecture
Interested?
Apply now or share your profile at
Are you passionate about building AI-enabled, cloud-native architectures on AWS? Do you enjoy working with Gen AI, LLMs, and scalable serverless platforms? We are looking for an experienced AWS Cloud & Gen AI Solution Architect to join our team and lead next-generation cloud and AI initiatives.
Role & Responsibilities
Architecture & Solutioning
- Design highly available, scalable, secure, and optimized AI-enabled cloud architectures on AWS.
- Architect solutions using LLMs, Agentic AI, and AWS services such as Amazon Bedrock and Sage Maker.
- Design and implement event-driven architectures using API Gateway, Lambda, Step Functions, SQS/SNS, Dynamo DB Streams, Code Build, etc.
- Define and execute cloud adoption, modernization, and migration strategies.
- Integrate AWS services (including cross-account) using AWS SDKs for governance, automation, and provisioning.
Frameworks & Reusable Platforms
- Build reusable frameworks to accelerate cloud-native and Gen AI-based solution delivery.
- Develop accelerators for serverless applications, CI/CD pipelines, AI inference workflows, and infrastructure provisioning.
Dev Ops, Automation & Governance
- Implement Infrastructure as Code (Ia C) using AWS Cloud Formation (expert level), CDK, or Terraform.
- Build CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy.
- Enable cloud security, monitoring, logging, observability, and compliance best practices.
- Contribute to Landing Zone / Control Tower design and multi-account governance.
AI / LLM Enablement
- Architect and integrate Gen AI and LLM-based features into enterprise applications.
- Build RAG-based solutions, embeddings pipelines, prompt management layers, and inference workflows.
- Evaluate and guide adoption of new AWS AI services including Bedrock models, Agents, Guardrails, and fine-tuning.
- Advise on model selection, tuning, vector indexing, cost, latency, and scalability.
Leadership & Collaboration
- Mentor engineering teams and ensure high-quality solution delivery.
- Support WBS creation, estimations, and SOW preparation.
- Drive Po Cs/Po Vs with strong business justification.
- Participate in architecture governance and design reviews.
Mandatory Skills
- 12+ years of overall experience with 10+ years in AWS application/solution architecture.
- Strong hands-on expertise in AWS serverless and event-driven services.
- Experience integrating AI/LLM solutions using AWS Bedrock, Sage Maker, Open Search, or similar.
- Strong background in AWS compute, networking, security, storage, deployment, and automation.
- Expertise with AWS SDKs and programmatic service consumption.
- Application development experience in Node.js or Python.
- Deep experience with AWS Cloud Formation and AWS-native CI/CD.
- Strong understanding of cloud security, networking, and best practices.
- Excellent communication, presentation, and stakeholder management skills.
Good to Have
- Experience with prompt engineering, embeddings, and vector stores (Open Search, Dynamo DB, Redis).
- Advanced Dynamo DB patterns (global tables, streams, TTLs).
- Exposure to AWS RDS, Service Catalog, enterprise governance tooling, and cross-account frameworks.
Location: Hybrid
Experience: 12+ Years
☁️ Skills: AWS | Gen AI | Bedrock | Serverless | Cloud Architecture
Interested?
Apply now or share your profile at
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