AI Engineer

Capgemini; New York (NY); On-site; USD 125,000 - 135,000; Full time

Benefits offered by this job

Paid time off (vacation/sick)

Medical, dental, vision

401(k) retirement savings

Job summary

Capgemini is seeking an Intermediate AI Developer in New York to build intelligent agents and AI-powered components that reason, plan, and act across business and technology use cases. You will develop agent capabilities including memory, tool use, and orchestration, using Python, embeddings, vector databases, and RAG patterns, with close collaboration with prompt engineers.

Proficiency in Python and the Azure stack is essential, with knowledge of MCP server integration and A2A agent-to-agent

Qualifications

• Intermediate level experience in AI development, LLM-based solutions or agentic AI applications.

Responsibilities

• Build and enhance AI agents and intelligent components that can reason, plan and act.

Skills

AI development

Python

Azure

Embeddings

Vector databases

RAG

A2A communication

Memory & tool use

Prompt engineering collaboration

AMP and Claude Code

Tools

AMP

Claude Code

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Role Overview

We are seeking an Intermediate AI Developer to build intelligent agents and AIpowered components that can reason plan and act across business and technology use cases This role focuses on developing agentic AI solutions enabling memory and tooluse capabilities and building modern AI applications using Python embeddings vector databases and RetrievalAugmented Generation RAGThe ideal candidate has handson experience in AI application development a good understanding of the Azure cloud stack and familiarity with modern agentic concepts such as MCP server integration and A2A agenttoagent communication This role will work closely with prompt engineers and crossfunctional teams to develop scalable secure and productionready AI solutions Experience using AI coding agents such as AMP and Claude Code is a required skill for this position

Key Responsibilities

• Build and enhance AI agents and intelligent components that can reason plan and act
• Develop agent capabilities such as memory tool use orchestration and workflow execution
• Implement AI applications using embeddings vector databases and RAG patterns
• Develop scalable backend services and integrations in Python
• Collaborate with prompt engineers to improve prompts agent behavior and response quality
• Support integration with cloudbased services and enterprise systems within the Azure environment
• Contribute to solutions involving MCP server connectivity and A2A agenttoagent communication
• Test monitor troubleshoot and improve AI application performance and reliability
• Follow engineering best practices for code quality security version control and CICD
• Use AI coding agents AMP Claude Code to improve development speed code quality and productivity

Required Skills Qualifications

• Intermediatelevel experience in AI development LLMbased solutions or agentic AI applications
• Strong programming skills in Python
• Good understanding of the Azure cloud stack
• Good understanding of
  • Embeddings
  • Vector databases
  • RetrievalAugmented Generation RAG
• Familiarity with MCP server concepts and integration
• Understanding of A2A agenttoagent communication patterns
• Experience developing or supporting AI solutions with memory and tooluse capabilities
• Ability to work with prompt engineers and other technical teams to deliver AI solutions
• Strong problemsolving analytical and collaboration skills
• Musthave Experience using AI coding agents such as AMP and Claude Code in daytoday development workflows

Preferred Qualifications

• Familiarity with agent frameworks such as LangChain Semantic Kernel AutoGen or similar
• Experience integrating APIs tools and enterprise platforms into AI applications
• Exposure to model evaluation observability and monitoring for AI systems
• Understanding of testing deployment pipelines and software engineering best practices'

The base compensation range for this role in the posted location is: 125,000 - 135,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.