AWS GenAI Expert

Full Time, onsite
Divit Technologies, Inc.
Hybrid, United States of America

Salary undisclosed

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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 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
Develop and maintain Infrastructure as Code using CloudFormation
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

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
AWS CloudFormation 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 CloudWatch 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

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 successful data pipeline design
Background in model experiment design
Background in model performance optimization
Background in model governance frameworks

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

Additional Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
Ability to work in a fast-paced environment with rapidly evolving technologies
Willingness to stay current with AWS AI service updates and new features
Availability for occasional off-hours support during critical deployments
Ability to work across different time zones if necessary
Commitment to continuous learning and professional development
Willingness to contribute to technical blogs and knowledge sharing

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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