AWS Specialist
Remote
Long Term
Contract
AWS Specialist with hands-on experience in OpenSearch, Amazon Bedrock, and Generative AI (GenAI) chatbot deployment. The ideal candidate will architect, build, and optimize AI-powered applications leveraging AWS managed services and integrations with vector databases and knowledge bases.
Key Responsibilities
•     Design, deploy, and manage AWS OpenSearch Service clusters, including index creation, ingestion pipelines, and performance optimization.
•     Build and integrate knowledge bases with Amazon Bedrock for retrieval-augmented generation (RAG) applications.
•     Develop and deploy GenAI chatbots using Amazon Bedrock foundational models, prompt engineering, and API integrations.
•     Implement secure and scalable AWS architectures leveraging Lambda, API Gateway, S3, ECS/Fargate, IAM, and CloudFormation.
•     Work with data engineers and ML practitioners to prepare structured and unstructured data for LLM-powered solutions.
•     Enable logging, monitoring, and cost optimization for GenAI workloads using CloudWatch and AWS Cost Explorer.
•     Collaborate cross-functionally with product and AI teams to define chatbot goals, training data pipelines, and user experience flows.
•     Stay up to date on new AWS AI/ML services, foundation model updates, and Bedrock feature releases.
Required Skills and Experience
•     12+ years of hands-on AWS experience, including IAM, VPC, Lambda, ECS, API Gateway, and S3.
•     Proven expertise with OpenSearch configuration, scaling, and integration with application data pipelines.
•     Strong understanding of LLM models and retrieval-augmented generation (RAG) architectures.
•     Experience developing or deploying GenAI chatbots using Amazon Bedrock, Anthropic Claude, or similar models.
•     Familiarity with vector embeddings, semantic search, and model fine-tuning.
•     Proficiency in scripting with Python (e.g., boto3, LangChain, or AWS SDK).
•     Understanding of AWS security, cost management, and automation best practices.
Preferred Qualifications
•     AWS Certified Solutions Architect, Machine Learning Specialty, or Data Engineer certification.
•     Experience with tools such as LangChain, Haystack, or LlamaIndex.
•     Knowledge of CI/CD with AWS CodePipeline or GitHub Actions for GenAI deployments.
•     Familiarity with serverless chatbot integrations via Amazon Lex, DynamoDB, or external APIs.
Munesh
770-838-3829,
CYBER SPHERE LLC
