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# Forward Deployed Engineer

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Salary:** $170,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Distributed Systems, Graph Database, Python (Programming Language), Performance Tuning, OpenAI, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Workflow Management Systems, Azure Service Bus, Enterprise Software Applications, Spring Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Software Troubleshooting, Generative AI, Agentic-AI, Event Driven Architecture, Data Lakes, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, CrewAI, AutoGen, Apache Kafka, Data Management, Machine Learning Operations, Claude, Google Gemini, Stream Processing, Docker, Programming Languages, Microservices, Agent2Agent Protocol
- **Published:** October 22, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3472118363&tx=JL7973FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experience designing and deploying cloud-native applications on AWS, Azure, or GCP.
 * Strong knowledge of distributed systems, APIs, microservices, and event-driven architectures.
 * Experience with AI/ML platforms, Generative AI, LLMs, RAG, Agentic AI, and workflow orchestration frameworks.
 * Hands-on experience with data engineering, ETL pipelines, data lakes, and modern analytics platforms.
 * Strong understanding of Kubernetes, Docker, CI/CD, DevOps, and Infrastructure as Code.
 * Experience integrating enterprise applications such as ERP, CRM, HR, and data platforms.
 * Ability to work directly with executive stakeholders, technical leaders, and cross-functional teams.
 * Strong problem-solving, communication, and customer-facing consulting skills. Preferred Skills
 * Experience with LangGraph, LangChain, CrewAI, AutoGen, ADK, A2A, MCP, or similar agent frameworks.
 * Experience deploying solutions using Google Gemini, Azure OpenAI, OpenAI, Anthropic Claude, or Vertex AI.
 * Knowledge of real-time data streaming technologies such as Kafka, Pub/Sub, or Event Hubs.
 * Familiarity with vector databases, knowledge graphs, and semantic search architectures.
 * Experience in regulated industries such as Healthcare, Banking, Financial Services, or Insurance.
 * Exposure to MLOps, LLMOps, model governance, and AI observability platforms.

## Description

* We are seeking a highly motivated Forward Deployed Engineer (FDE) to work directly with enterprise customers, bridging the gap between product engineering, AI, data platforms, and business outcomes. This role combines technical consulting, solution architecture, software development, and stakeholder management to deliver production-grade AI, data, and automation solutions in complex enterprise environments.
 * The ideal candidate is a hands-on engineer with experience deploying scalable AI and data platforms, integrating enterprise systems, and translating customer requirements into robust technical solutions. You will work closely with customers, product teams, architects, and leadership to accelerate adoption, drive innovation, and maximize business value. Key Responsibilities
 * Partner directly with customers to understand business requirements and translate them into scalable technical solutions.
 * Design, develop, and deploy AI, data, and cloud-native applications in production environments.
 * Build integrations between enterprise systems, APIs, data platforms, and AI services.
 * Work across the full solution lifecycle, including discovery, architecture, implementation, deployment, and post-production support.
 * Develop proof-of-concepts (POCs), pilots, and production-grade solutions that address customer challenges.
 * Collaborate with product and engineering teams to influence roadmap decisions based on field insights.
 * Troubleshoot complex technical issues and optimize system performance, reliability, and scalability.
 * Enable customers through technical workshops, architecture reviews, and best-practice guidance.
 * Ensure security, compliance, governance, and operational excellence across deployed solutions.
 * Drive successful adoption of AI, automation, and digital transformation initiatives. Required Skills
 * Strong software engineering fundamentals with expertise in Java, Python, or modern programming languages.