Capgemini
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.New York, NY# AWS GenAI Engineer## **Job Location: Whippany, NJ**## **Job Responsibilities**Design end-to-end GenAI solutions using AWS Bedrock with foundation models (Claude, Titan, etc.)
Develop and optimize AI Agents and multi-agent systems with MCP integration
Implement RAG (Retrieval-Augmented Generation) and vector search solutions using OpenSearch
Build serverless AI architectures using Lambda, ECS, and Step Functions
Create RESTful APIs and microservices for AI application integration
Develop NLP pipelines using AWS Comprehend & Guardrails
Implement Infrastructure as Code using CloudFormation
Lead POC development and cost optimization strategies for AI solutions
Build automated model evaluation and monitoring frameworks.## **Required Skills**Experience: 5+ years Python development, 3+ years AWS services
**Core Expertise:**
AWS Bedrock, foundation models, and AI Agents architecture
Model Context Protocol (MCP) implementation and integration
Vector databases, embedding models, and semantic search
OpenSearch configuration and RAG implementations
Serverless architectures (Lambda, ECS, Step Functions)
RDS PostgreSQL, Secrets Manager, CloudWatch monitoring
Container orchestration (ECS/EKS) and auto-scaling
AI Guardrails, PII detection, and security best practices
**Essential Knowledge Areas**
Advanced prompt engineering and multi-agent conversation flows
LLM capabilities, limitations, and MCP protocol standards
AI security, governance, and responsible AI principles
Model evaluation metrics and performance optimization
AI cost optimization and deployment architectures
Data preprocessing pipelines and compliance requirements
**Key Soft Skills**
Strong problem-solving and analytical abilities
Excellent communication skills for technical and executive audiences
Leadership capabilities for AI initiatives and team mentoring
Agile environment experience with strong project management skills
Strategic thinking and change management abilities.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 nd 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 du
Disaster ReliefCapgemini 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 aring our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is - $80420 to $106050/yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.LocationNew York, NY #J-18808-Ljbffr
Develop and optimize AI Agents and multi-agent systems with MCP integration
Implement RAG (Retrieval-Augmented Generation) and vector search solutions using OpenSearch
Build serverless AI architectures using Lambda, ECS, and Step Functions
Create RESTful APIs and microservices for AI application integration
Develop NLP pipelines using AWS Comprehend & Guardrails
Implement Infrastructure as Code using CloudFormation
Lead POC development and cost optimization strategies for AI solutions
Build automated model evaluation and monitoring frameworks.## **Required Skills**Experience: 5+ years Python development, 3+ years AWS services
**Core Expertise:**
AWS Bedrock, foundation models, and AI Agents architecture
Model Context Protocol (MCP) implementation and integration
Vector databases, embedding models, and semantic search
OpenSearch configuration and RAG implementations
Serverless architectures (Lambda, ECS, Step Functions)
RDS PostgreSQL, Secrets Manager, CloudWatch monitoring
Container orchestration (ECS/EKS) and auto-scaling
AI Guardrails, PII detection, and security best practices
**Essential Knowledge Areas**
Advanced prompt engineering and multi-agent conversation flows
LLM capabilities, limitations, and MCP protocol standards
AI security, governance, and responsible AI principles
Model evaluation metrics and performance optimization
AI cost optimization and deployment architectures
Data preprocessing pipelines and compliance requirements
**Key Soft Skills**
Strong problem-solving and analytical abilities
Excellent communication skills for technical and executive audiences
Leadership capabilities for AI initiatives and team mentoring
Agile environment experience with strong project management skills
Strategic thinking and change management abilities.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 nd 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 du
Disaster ReliefCapgemini 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 aring our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is - $80420 to $106050/yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.LocationNew York, NY #J-18808-Ljbffr