AWS GenAI

Job ID: 24956861Reference Number: 25-00183Title: AWS GenAILocation: Iselin, NJ, 08830Posted Date: 2025-03-12Contact: Deepak KumarContact Email: View email address on click.appcast.io Phone: (551) 795-0621Company: HAN Staffing AWS GenAI Senior Expert Position OverviewWe 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 ResponsibilitiesDesign 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 requirementsCreate and maintain vector search solutions using AWS OpenSearch and other vector databasesImplement and manage knowledge bases using Amazon Kendra for enterprise search solutionsDesign and deploy serverless architectures using AWS Lambda and ECS for AI applicationsDevelop and maintain Infrastructure as Code using CloudFormationImplement secure and scalable database solutions using RDS PostgreSQLConfigure and manage IAM roles and permissions for secure AI service accessBuild RESTful APIs and microservices for AI application integrationDesign and implement NLP pipelines using AWS Comprehend & GuardrailsCreate automated testing frameworks for AI applicationsDevelop cost optimization strategies for AI service usageLead proof-of-concept development for innovative AI solutionsImplement automated model evaluation frameworksDesign and maintain model serving architecturesCreate model monitoring and alerting systemsDevelop custom metrics for AI system performanceImplement model governance frameworksRequired Technical Skills5+ years of experience in software development with Python3+ years of hands-on experience with AWS servicesDeep expertise in: AWS Bedrock and foundation models (Claude, Titan, etc.)Vector databases and embedding modelsAmazon Kendra implementation and optimizationOpenSearch configuration and managementAWS CloudFormation and Infrastructure as CodeServerless 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 GuardrailsAmazon CloudWatch for monitoring AI applicationsContainer orchestration with ECS/EKSAWS Glue for ETL processesAmazon Athena for data analysisAWS Auto Scaling configurationsAmazon ECR for container registryEssential Knowledge AreasAdvanced understanding of prompt engineering techniques and best practicesComprehensive knowledge of LLM capabilities, limitations, and optimal use casesExperience with RAG (Retrieval-Augmented Generation) implementationsExpertise in vector similarity search and semantic search conceptsStrong understanding of AI/ML deployment patterns and architecturesKnowledge of AI security best practices and responsible AI principlesExpertise in AI model evaluation and performance metricsUnderstanding of AI model governance and compliance requirementsKnowledge of AI/ML cost optimization techniquesUnderstanding of AI data privacy and security considerationsExperience with AI model monitoring and debuggingExpertise in model serving architecturesKnowledge of PII detection and redactionExpertise in implementing AI GuardrailsKnowledge of model performance optimizationExpertise in data preprocessing pipelinesUnderstanding of model evaluation metricsUnderstanding of model governance frameworksRequired ExperienceProven track record of successfully delivered GenAI projectsExperience with enterprise-scale AI implementationsBackground in creating production-ready AI solutionsHistory of optimizing AI model performance and costExperience with real-time AI inference systemsTrack record of successful AI system architecture designExperience with AI system performance tuningBackground in AI project estimation and planningHistory of successful stakeholder management in AI projectsExperience with AI system troubleshooting and debuggingTrack record of successful model deploymentsExperience with model monitoring systemsBackground in model governance implementationHistory of successful model optimizationTrack record of successful data pipeline designBackground in model experiment designBackground in model performance optimizationBackground in model governance frameworksSoft SkillsStrong problem-solving and analytical abilitiesExcellent communication skills for explaining technical concepts to non-technical stakeholdersAbility to lead technical discussions and mentor team membersStrong documentation and technical writing skillsExperience working in Agile environmentsLeadership skills for guiding AI initiativesAbility to influence and drive technical decisionsStrong presentation skills for executive-level communicationsExcellent project management capabilitiesCapacity to work effectively in cross-functional teamsAbility to mentor and guide junior AI developersSkills in facilitating technical design sessionsExperience in conducting technical interviewsConflict resolution abilitiesStrategic thinking capabilitiesChange management skillsRisk assessment abilitiesDecision-making capabilitiesTime management skillsTeam building abilitiesAdditional RequirementsBachelor's or Master's degree in Computer Science, Software Engineering, or related fieldAbility to work in a fast-paced environment with rapidly evolving technologiesWillingness to stay current with AWS AI service updates and new featuresAvailability for occasional off-hours support during critical deploymentsAbility to work across different time zones if necessaryCommitment to continuous learning and professional developmentWillingness to contribute to technical blogs and knowledge sharing