Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infomerica, Inc, is seeking the following. Apply via Dice today! Hi, Please find the role below and let us know your interest. Role: GEN AI Expert Location: Whippany, NJ(Onsite with hybrid) Experience: 7+ years Duration: 6+ Months contract Interview Process: 1st round (virtual); 2nd round (in person in Whippany Barclays office) Job Description: 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 • Experience with RAG (Retrieval-Augmented Generation) implementations • Create and maintain vector search solutions using AWS OpenSearch 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 • Experience with AI system troubleshooting and debugging • Develop and maintain Infrastructure as Code using CloudFormation • Implement secure and scalable database solutions using RDS PostgreSQL • Build RESTful APIs and microservices for AI application integration • Design and implement NLP pipelines using AWS Comprehend & Guardrails • Develop cost optimization strategies for AI service usage • Lead proof-of-concept development for innovative AI solutions • Implement automated model evaluation frameworks Required Technical Skills • 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 • OpenSearch configuration and management • Serverless architectures (Lambda, ECS) • RDS PostgreSQL database design and optimization • AWS Step Functions for AI workflows • AWS Secrets Manager and Parameter Store • AWS Comprehend and Guardrails • Amazon CloudWatch for monitoring AI applications • Container orchestration with ECS/EKS • Amazon Athena for data analysis • AWS Auto Scaling configurations 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 Soft Skills • 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 executive-level communications • Excellent project management capabilities • Capacity to work effectively in cross-functional teams • Ability to mentor and guide junior AI developers • Skills in facilitating technical design sessions • Experience in conducting technical interviews • Conflict resolution abilities • Strategic thinking capabilities • Change management skills • Risk assessment abilities • Decision-making capabilities • Time management skills Team building abilities