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# Forward Deployed Engineer

- **Company:** Capgemini
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $120,840.0 - $145,300.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Information Engineering, Distributed Systems, Python (Programming Language), Machine Learning, MongoDB, Azure Machine Learning, Software Engineering, SQL Databases, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Backend, Event Driven Architecture, Enterprise Integration, Apache Kafka, Virtual Agents, Restful APIs, Databricks, Microservices
- **Published:** August 29, 2026
- **Apply:** https://www.capgemini.com/jobs/542001-en_US_SAPBTP/x/

## About the Role

· 8-10 years of experience in Machine Learning, Software Engineering, or Data Engineering, with 3-5 years of hands-on experience in Agentic AI and Generative AI solutions.

· Strong experience deploying and supporting production AI/ML services at enterprise scale.

· Proficiency in Python, REST APIs, microservices, MongoDB, Kafka, and distributed systems.

· Hands-on experience with LLMs, AI agents, RAG architectures, prompt engineering, and AI evaluation frameworks.

· Integration Knowledge of SQL and data engineering skills, including Spark and Databricks.

· Excellent problem-solving, stakeholder management, and customer-facing solution engineering capabilities.

## Description

· Design, develop, and deploy production-ready AI/ML solutions using Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks.

· Build scalable backend services and APIs using Python, microservices, MongoDB, Kafka, and event-driven architectures.

· Develop intelligent agents utilizing tool calling, prompt engineering, context management, guardrails, and evaluation frameworks.

· Orchestrate business workflows and integrate AI solutions with enterprise platforms, APIs, and event streams.

· Conduct operational and historical data analysis using SQL, Spark, and Databricks to perform root-cause investigations and drive resolution outcomes.

· Partner directly with Operations teams and SMEs to understand business problems, rapidly prototype solutions, deploy into production, and measure impact.

· Convert successful resolution patterns into reusable AI-powered platform capabilities and services.


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