AWS GenAI
Job in
Iselin, Middlesex County, New Jersey, 08830, USA
Listed on 2026-10-09
Listing for:
HAN Staffing
Full Time
position Listed on 2026-10-09
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AWS, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Title:
AWS GenAI
Location:
Iselin, NJ, 08830
Posted Date:
Contact:
Deepak Kumar Contact Email: dipak
Contact Phone:
Company: HAN Staffing AWS GenAI Senior Expert
Position Overview We are seeking an experienced AWS Generative AI expert to design, develop, and implement cutting-edge AI solutions using AWS's comprehensive suite of services. The ideal candidate will combine deep technical expertise in AWS GenAI services with strong software development skills and a thorough understanding of large language models and vector databases.
This role offers an opportunity to shape the future of AI implementations while working with cutting-edge technologies.
Core Responsibilities Design and implement end-to-end GenAI solutions using AWS Bedrock, incorporating foundation models like Claude and Titan, etc.
Develop and optimize prompt engineering strategies for various use cases and business requirements
Create and maintain vector search solutions using AWS Open Search and other vector databases
Implement and manage knowledge bases using Amazon Kendra for enterprise search solutions
Design and deploy serverless architectures using AWS Lambda and ECS for AI applications
Develop and maintain Infrastructure as Code using Cloud Formation Implement secure and scalable database solutions using RDS PostgreSQLConfigure and manage IAM roles and permissions for secure AI service access
Build RESTful APIs and microservices for AI application integration
Design and implement NLP pipelines using AWS Comprehend & Guardrails Create automated testing frameworks for AI applications
Develop cost optimization strategies for AI service usage
Lead proof-of-concept development for innovative AI solutions
Implement automated model evaluation frameworks
Design and maintain model serving architectures
Create model monitoring and alerting systems
Develop custom metrics for AI system performance
Implement model governance frameworks
Required Technical Skills5+ years of experience in software development with Python3+ years of hands-on experience with AWS services
Deep expertise in:
AWS Bedrock and foundation models (Claude, Titan, etc.)Vector databases and embedding models
Amazon Kendra implementation and optimization
Open Search configuration and management AWS Cloud Formation and Infrastructure as Code Serverless architectures (Lambda, ECS)
IAM security and best practicesRDS PostgreSQL database design and optimizationAWS Step Functions for AI workflowsAWS API Gateway configurationAWS Secrets Manager and Parameter StoreAWS Comprehend and Guardrails Amazon Cloud Watch for monitoring AI applications
Container orchestration with ECS/EKSAWS Glue for ETL processes
Amazon Athena for data analysisAWS Auto Scaling configurations
Amazon ECR for container registry
Essential Knowledge Areas Advanced understanding of prompt engineering techniques and best practices
Comprehensive knowledge of LLM capabilities, limitations, and optimal use cases
Experience with RAG (Retrieval-Augmented Generation) implementations
Expertise in vector similarity search and semantic search concepts
Strong understanding of AI/ML deployment patterns and architectures
Knowledge of AI security best practices and responsible AI principles
Expertise in AI model evaluation and performance metrics
Understanding of AI model governance and compliance requirements
Knowledge of AI/ML cost optimization techniques
Understanding of AI data privacy and security considerations
Experience with AI model monitoring and debugging
Expertise in model serving architectures
Knowledge of PII detection and redaction
Expertise in implementing AI Guardrails Knowledge of model performance optimization
Expertise in data preprocessing pipelines
Understanding of model evaluation metrics
Understanding of model governance frameworks
Required Experience Proven track record of successfully delivered GenAI projects
Experience with enterprise-scale AI implementations
Background in creating production-ready AI solutions
History of optimizing AI model performance and cost
Experience with real-time AI inference systems
Track record of successful AI system architecture design
Experience with AI system performance tuning
Background in AI project estimation and planning
History of successful stakeholder management in AI projects
Experience with AI system troubleshooting and debugging
Track record of successful model deployments
Experience with model monitoring systems
Background in model governance implementation
History of successful model optimization
Track record of…
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