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Title - Gen AI Application Engineer

Job Description

Title - Gen AI Application Engineer

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 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 Skills

• 5+ years of experience in software development with Python

• 3+ years of hands-on experience with AWS services

• Deep expertise in: o AWS Bedrock and foundation models (Claude Titan etc.)

• Vector databases and embedding model so 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/EKSo AWS Glue for ETL processes Amazon Athena for data analysis AWS Auto Scaling configurations Amazon ECR for container registry

Essential Knowledge

• 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

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:

• Flexible work

• Healthcare including dental, vision, mental health, and well-being programs

• Financial well-being programs such as 401(k) and Employee Share Ownership Plan

• Paid time off and paid holidays

• Paid parental leave

• Family building benefits like adoption assistance, surrogacy, and cryopreservation

• Social well-being benefits like subsidized back-up child/elder care and tutoring

• Mentoring, coaching and learning programs

• Employee Resource Groups

• Disaster Relief

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 get in touch with your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Ref. code: 143942

Posted on: Jan 3, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, US

Brand: Capgemini

Professional Community: Software Engineering

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.