Amazon Computer Science Jobs in North Carolina (NOW HIRING)

Role Name: GenAI Engineer   Location: Charlotte, NC  / Hybrid       JOB DESCRIPTION:     Key Responsibilities
Job Title:  AWS Generative AI Engineer
Job Summary
We are seeking a highly skilled AWS Generative AI Engineer with strong experience in designing developing and deploying Generative AI solutions on AWS The ideal candidate should possess handson expertise with Amazon Bedrock Anthropic Claude models Large Language Models LLMs prompt engineering retrievalaugmented generation RAG and scalable cloudnative architectures The role involves collaborating with business and technology teams to build AIpowered applications that drive innovation and business value
Key Responsibilities
 Design develop and deploy Generative AI solutions leveraging Amazon Bedrock Anthropic Claude and other foundation models
 Build and optimize RAG RetrievalAugmented Generation architectures using vector databases and enterprise knowledge sources
 Develop AIpowered applications such as chatbots virtual assistants document processing content generation and intelligent search solutions
 Create and optimize prompts workflows and model configurations to improve response quality accuracy and performance
 Integrate Bedrock foundation models with enterprise applications APIs and AWS services
 Implement scalable and secure cloudnative solutions using AWS services such as Lambda API Gateway ECS EKS S3 DynamoDB and OpenSearch
 Finetune model outputs through prompt engineering guardrails and evaluation frameworks
 Collaborate with data engineers architects product owners and business stakeholders to identify GenAI use cases and deliver solutions
 Monitor model performance costs latency and security compliance
 Ensure adherence to responsible AI practices governance and security standards
 Stay updated with emerging trends in Generative AI LLMs and AWS AIML services
Required Skills  Experience
AWS  Cloud
 Strong experience with AWS Cloud Services
 Handson experience with
    Amazon Bedrock
    AWS Lambda
    API Gateway
    Amazon S3
    Amazon DynamoDB
    Amazon OpenSearch
    ECSEKS
    CloudWatch
    IAM
Generative AI  LLMs
 Strong experience with Amazon Bedrock and Anthropic Claude models
 Solid understanding of
    Large Language Models LLMs
    Prompt Engineering
    RAG Architecture
    Vector Databases
    AI Agents and Agentic Workflows
    Finetuning and Model Evaluation
    Responsible AI and AI Governance
Programming  Frameworks
 Proficiency in Python
 Experience with
    LangChain
    LangGraph
    LlamaIndex
    FastAPI
    REST APIs
    SDK integrations
Data  Integration
 Experience integrating structured and unstructured data sources
 Knowledge of embeddings semantic search knowledge bases and document ingestion pipelines
Preferred Qualifications
 Bachelors or Masters degree in Computer Science Engineering Data Science or a related field
 AWS certifications such as
    AWS Certified
    AWS Certified Machine Learning Engineer
    AWS AI Practitioner
 Experience with MLOps CICD and infrastructureascode tools Terraform CloudFormation
 Familiarity with other LLM providers such as OpenAI Meta Llama Mistral or Cohere
Experience
 5-10 years of overall softwarecloud development experience
 2-4 years of handson experience in Generative AI and LLMbased solution development
 Proven experience delivering enterprisescale AI solutions on AWS
Key Competencies
 Solution Design  Architecture
 Generative AI  LLM Expertise
 CloudNative Development
 Problem Solving  Analytical Thinking
 Stakeholder Management
 Innovation Mindset
 Agile Delivery
 Communication and Collaboration Skills
Keywords AWS Amazon Bedrock Anthropic Claude Generative AI GenAI LLM RAG LangChain LangGraph LlamaIndex Vector Database Prompt Engineering Python AI Agents OpenSearch Lambda Cloud Architecture