AWS Generative AI Expert at Pyramid Consulting, Inc. in Jersey

AWS Generative AI Expert

Immediate need for a talented AWS Generative AI Expert. This is a 06+ Months Contract opportunity with long-term potential and is located in Jersey City, NJ (Onsite). Please review the job description below and contact me ASAP if you are interested. Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key 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 PostgreSQL.
• Configure 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.

Key Requirements and Technology

Experience:

• Skills-Generative AI, AWS, Machine Learning Artificial intelligence.
• 5+ years of experience in software development with Python.
• 3+ 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 practices.
• RDS PostgreSQL database design and optimization.
• AWS Step Functions for AI workflows.
• AWS API Gateway configuration.
• AWS Secrets Manager and Parameter Store.
• AWS Comprehend and Guardrails.
• Amazon Cloud Watch for monitoring AI applications.
• Container orchestration with ECS/EKS.
• AWS Glue for ETL processes.
• Amazon Athena for data analysis.
• AWS 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.
• 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 successful data pipeline design.
• Background in model experiment design.
• Background in model performance optimization.
• Background in model governance frameworks.
• Strong problem-solving and analytical abilities.
• Excellent communication skills for explaining technical concepts to non-technical stakeholders.
• Ability to lead technical discussions and mentor team members.
• Strong documentation and technical writing skills.
• Experience working in Agile environments.
• Leadership skills for guiding AI initiatives.
• Ability to influence and drive technical decisions.
• Strong presentation skills for…