AWS Cloud Architect- Agentic AI

Introduction:

This position is for an AWS Cloud Architect specializing in Agentic AI. The individual will be responsible for designing, developing, and deploying cloud-native applications using various AWS services. They will also work on building and maintaining CI/CD pipelines, implementing Infrastructure-as-Code, and ensuring application security and compliance with best practices. Additionally, they will collaborate with AI teams to integrate models and deploy AI/ML workloads on AWS.

Responsibilities:

• Design, develop, and deploy cloud-native applications using AWS services such as Lambda, EC2, ECS/EKS, S3, API Gateway, DynamoDB, RDS, etc.
• Build and maintain CI/CD pipelines using AWS CodePipeline, Code Build, GitHub Actions, or Jenkins.
• Implement Infrastructure-as-Code with Terraform or AWS CloudFormation.
• Ensure application security, IAM role configuration, and compliance with best practices.
• Build and integrate AI agent workflows using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent.
• Develop LLM-based microservices, chatbots, and autonomous task-handling agents.
• Work with vector databases for RAG-based solutions.
• Collaborate with AI teams to integrate models and deploy AI/ML workloads on AWS.

Requirements:

Required Skills:

• Strong hands-on experience with AWS Cloud Architecture.
• Proficiency in backend languages: Python, Node.js, or Java.
• Strong understanding of microservices, REST APIs, and event-driven architectures.
• Experience with containerization (Docker) and orchestration (EKS/ECS).
• Experience with LLMs, AI Agents, prompt engineering, and RAG workflows.
• Agentic experience building AI agents, task planners, or autonomous workflows.
• Familiarity with LLM fine-tuning, embeddings, and vector stores.
• Understanding of AI safety, reasoning, and agent orchestration principles.
• Excellent communication and collaboration skills.
• Strong problem-solving and solution-oriented mindset.
• Ability to work in dynamic, fast-paced environments.

Preferred Qualifications:

• AWS Certified Developer/Solutions Architect (Associate or Professional).
• Experience deploying AI systems using AWS Bedrock.
• Prior work on automation, workflow orchestration, or intelligent systems.

Knowledge of DevOps practices and monitoring tools like CloudWatch, Grafana, ELK is a plus.