Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
20 hours ago
GitAWSMLOpsComplianceGoogle CloudJavaLLMRegulatory ComplianceGenerative AIAzurePrompt EngineeringCI/CDLangGraphRAGn8n
Job Description
Role :- Forward Deployed Engineer (FDE) - Agentic AI & Enterprise Solutions
Location :- NY/ NJ/ Delaware/ Colomb Plano/ Houston / Chicago) 5 Days onsite
Role Overview
Seeking a hands-on Forward Deployed Engineer / Solution Architect with strong Java development, extensive banking domain experience, and proven client-facing engineering leadership. The candidate must bridge business requirements and production-grade Agentic AI solutions, owning delivery from discovery and architecture through development, deployment, and optimization.
Key Responsibilities
- Engage directly with business stakeholders and clients to translate business needs into scalable AI-driven solutions.
- Design, architect, code, deploy, and optimize enterprise-grade applications and Agentic AI solutions.
- Build multi-agent workflows using frameworks such as LangGraph, CrewAI, Semantic Kernel, or n8n.
- Implement LLM-based solutions using prompt/context engineering, RAG, tool integration, and memory systems.
- Integrate complex enterprise systems, APIs, and cloud-native platforms while ensuring scalability, security, and reliability.
- Drive AI-assisted engineering using Cursor, GitHub Copilot, automated testing, and code review tools.
- Implement CI/CD, DevSecOps, MLOps, monitoring, and governance controls.
- Present architectures and demos, advise clients, and ensure compliance with banking regulations and enterprise AI governance standards.
Mandatory Requirements
- 14+ years of overall IT experience.
- Strong hands-on Java development and software engineering experience.
- Extensive banking / financial services domain experience.
- Proven client-facing experience in FDE, Solution Architecture, Field Engineering, or similar roles.
- Strong architecture, coding, system integration, distributed systems, APIs, and cloud experience (AWS/Azure/Google Cloud Platform/OpenShift).
- Hands-on Agentic AI, LLMs, RAG, prompt engineering, and AI orchestration experience.
- Knowledge of CI/CD, DevSecOps, MLOps, AI governance, security, and regulatory compliance.
- Excellent stakeholder communication, problem-solving, and delivery ownership.
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