AWS Architect

Job Summary

We are looking for an experienced AWS Architect with strong expertise in designing, implementing, & deploying cloud-native AI/ML & Generative AI solutions on AWS. The ideal candidate will have hands-on experience with Amazon Bedrock, Amazon SageMaker, AWS AI services, & modern cloud architecture. The role involves working closely with business stakeholders & engineering teams to build efficient AI applications. Education: Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. Experience: 8+ Years.

Responsibilities

• Design & implement scalable cloud solutions using AWS services.
• Architect AI & Generative AI applications using Bedrock & foundation models.
• Build, train, deploy, & monitor machine learning models using SageMaker.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Integrate Large Language Models (LLMs) with enterprise applications.
• Develop AI-powered copilots, document intelligence, & management solutions.
• Design secure APIs using API Gateway, Lambda, ECS/EKS, & containerized microservices.
• Implement vector databases such as OpenSearch, Pinecone.
• Optimize AI workloads for performance, scalability, & cost.
• Establish CI/CD pipelines for ML & cloud deployments.
• Implement security best practices, IAM policies, encryption, & governance.
• Work with cross-functional teams to translate business requirements into technical solutions.

Required Skills

• AWS Cloud
• AWS Solution Architecture
• VPC
• EC2
• Lambda
• ECS
• EKS
• S3
• IAM
• CloudFormation / CDK
• API Gateway
• CloudWatch
• Step Functions
• EventBridge
• SNS/SQS
• AI / Machine Learning
• Amazon Bedrock
• Amazon SageMaker
• Prompt Engineering
• Fine-tuning foundation models
• Model deployment
• Feature Store
• Model Monitoring
• ML Pipelines
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases
• Agentic AI
• AI Guardrails
• Model Evaluation
• Programming
• Python
• SQL
• Java or Node.js (preferred)
• Databases
• DynamoDB
• Aurora
• PostgreSQL
• OpenSearch
• Redis
• DevOps
• Docker
• Kubernetes
• Terraform
• GitHub Actions
• Jenkins
• CodePipeline

Qualifications

• Experience with Generative AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel
• Experience integrating OpenAI, Anthropic Claude, Meta Llama, or Amazon Nova models through Amazon Bedrock
• Knowledge of MLOps best practices
• Experience building enterprise AI solutions
• Strong cloud architecture & solution design skills
• Experience delivering production-grade AI/ML solutions
• Excellent understanding of AWS Well-Architected Framework
• Strong communication & stakeholder management skills
• Ability to lead technical discussions & mentor development teams
• Problem-solving & analytical mindset

Job Type

Full time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.