What are the responsibilities and job description for the Gen AI Developer position at Capgemini?
Title : Gen AI Developer
Location : New Brunswick, New Jersey, United States
Type : Full time ( no C2c or C2h)
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
- 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
o AWS Bedrock and foundation models (Claude, Titan, etc.)
o Vector databases and embedding models
o Amazon Kendra implementation and optimization
o OpenSearch configuration and management
o AWS CloudFormation and Infrastructure as Code
o Serverless architectures (Lambda, ECS)
o IAM security and best practices
o RDS PostgreSQL database design and optimization
o AWS Step Functions for AI workflows
o AWS API Gateway configuration
o AWS Secrets Manager and Parameter Store
o AWS Comprehend and Guardrails
o Amazon CloudWatch for monitoring AI applications
o Container orchestration with ECS / EKS
o AWS Glue for ETL processes
o Amazon Athena for data analysis
o AWS Auto Scaling configurations
o Amazon ECR for container registry
Essential Knowledge Areas
Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer :
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity / expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and / or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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