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
