GenAI Platform Engineer (Python, MCP & Agentic AI)

Capgemini; Whippany (NJ); Hybrid; USD 91,000 - 107,000; Full time

Benefits offered by this job

Comprehensive benefits package

Paid time off 12–25 days, holidays, or

Job summary

Capgemini in Whippany, NJ is seeking a GenAI Platform Engineer to design, develop, and scale enterprise-grade AI platforms for financial services. You will build Python-based GenAI services, agent workflows, MCP integrations, and secure APIs to enable controlled, production-ready AI solutions.

The ideal candidate has deep Python expertise, GenAI and MCP experience, LangChain-like orchestration knowledge, and cloud deployment skills, with onsite/hybrid work from day one in a regulated industry

Qualifications

• Bachelor's degree in Computer Science, Engineering, AI, or related field or equivalent experience.
• Strong hands-on experience with Python backend development.
• Proven experience building GenAI applications and LLM workflows.
• Experience with MCP concepts and implementations, including tools and servers.
• Experience with LangChain, LangGraph, or similar orchestration frameworks.
• Strong understanding of RAG, embeddings, vector search and grounding techniques.
• Experience developing APIs using FastAPI, REST, and async Python.
• Knowledge of Git, CI/CD, testing frameworks, and cloud deployment practices.
• Experience with AWS and containerized applications.
• Understanding of enterprise security, authentication, and secrets management.
• Experience in banking/financial services or regulated environments preferred.

Responsibilities

• Design, develop, and maintain Python-based GenAI services, agent workflows, MCP integrations, and platform components.
• Build MCP servers, clients, tools, prompts, schemas, and authorization frameworks.
• Develop agent orchestration workflows including tool calling, function calling, retrieval, and execution.
• Design and implement RAG pipelines covering ingestion, embeddings, retrieval, ranking, and citations.
• Integrate financial data sources, SEC filings, enterprise repositories, web search, and banking platforms.
• Develop secure, production-grade APIs and backend services using Python, FastAPI, and async programming.
• Implement authentication, authorization, entitlement controls, logging, monitoring, testing, and model validation.
• Collaborate with stakeholders to deliver production-ready AI solutions.
• Create and maintain technical documentation and operational procedures.

Skills

Python backend

GenAI architectures

LLM orchestration

MCP implementations

LangChain/LangGraph

RAG embeddings

APIs with FastAPI

Git CI/CD

AWS & containers

Security & secrets mgmt

Financial services domain

Education

Bachelor's degree in CS/Engineering/AI

Tools

FastAPI

REST

Async Python

Docker

Kubernetes

OpenAI API

Job description

GenAI Platform Engineer (Python, MCP & Agentic AI)

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 Location : Whippany, NJ (Onsite/Hybrid from Day 1)

Job Description

We are seeking a highly skilled GenAI Platform Engineer to design, develop, and scale next-generation AI-powered solutions that support investment banking and financial services workflows. This role will focus on building enterprise-grade Generative AI platforms, agentic workflows, Model Context Protocol (MCP) integrations, Retrieval-Augmented Generation (RAG) capabilities, and secure backend services that enable business users to leverage AI solutions in a controlled, governed, and production-ready environment.

The ideal candidate will have deep expertise in Python, GenAI architectures, LLM orchestration frameworks, MCP implementations, API development, cloud-native services, and financial data integrations .

Key Responsibilities

• Design, develop, and maintain Python-based GenAI services, agent workflows, MCP integrations, and reusable platform components.

• Build MCP servers, clients, tools, resources, prompts, schemas, and authorization frameworks.

• Develop agent orchestration workflows including tool calling, function calling, retrieval, workflow execution, and output generation.

• Design and implement RAG pipelines covering ingestion, embeddings, retrieval, ranking, answer synthesis, and citations.

• Integrate internal and external data sources, including financial data providers, SEC filings, enterprise repositories, web search, and banking platforms.

• Develop secure, production-grade APIs and backend services using Python, FastAPI, and asynchronous programming.

• Implement authentication, authorization, entitlement controls, logging, monitoring, testing, and model output validation.

• Collaborate with business stakeholders, architects, cloud engineers, and governance teams to deliver production-ready AI solutions.

• Create and maintain technical documentation, architecture designs, and operational procedures.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, AI, or a related technical field (or equivalent experience).

• Strong hands-on experience with Python backend development.

• Proven experience building GenAI applications, LLM workflows, agentic systems, or AI-powered platforms.

• Experience with MCP concepts and implementations, including tools, resources, servers, and clients.

• Experience with LangChain, LangGraph, or similar orchestration frameworks.

• Strong understanding of RAG, embeddings, vector search, retrieval quality, and grounding techniques.

• Experience developing APIs using FastAPI, REST, and async Python.

• Knowledge of Git, CI/CD, testing frameworks, and cloud deployment practices.

• Experience with AWS and containerized applications.

• Understanding of enterprise security, authentication, authorization, and secrets management.

• Experience in banking, financial services, capital markets, or other regulated environments preferred.

Preferred Qualifications

• Experience with AWS Bedrock, Claude models, and managed GenAI services.

• Experience integrating FactSet, Bloomberg, S&P Capital IQ, Refinitiv, Fitch, or similar data providers.

• Knowledge of OpenSearch, Pinecone, pgVector, Weaviate, Chroma, or other vector databases.

• Familiarity with OpenTelemetry, observability, AI evaluation frameworks, and prompt management.

• Understanding of AI governance, model risk management, data privacy, and regulatory controls.

• Exposure to investment banking workflows including IPOs, ECM, DCM, M&A, and advisory processes.

The base compensation range for this role in the posted location is:90786- 107298

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.

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.

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.

New York, NY, US