Forward Deployed Engineer
Financial Services | Charlotte, NC (Hybrid) | Contract | 8+ Years
USC/EAD
NO SPORSORSHIP
CONTRACT W2 ONLY
Position Overview
We are seeking an experienced Forward Deployed Engineer to partner closely with business stakeholders, product teams, and engineers at a leading financial services company. The ideal candidate combines hands-on Java engineering, solution architecture, cloud technologies, and AI integration to deliver scalable solutions in a client-facing environment.
Technical Leadership & Engineering
· Design, develop, and deploy enterprise applications using Java, Spring Boot, and microservices.
· Lead solution architecture, technical design, and hands-on implementation.
· Translate business challenges into technical requirements and deployable solutions.
· Build REST APIs, backend services, and enterprise integrations.
· Diagnose complex issues across development, integration, and production.
Forward Deployed Engineering
· Engage directly with client teams to identify modernization and automation opportunities.
· Prototype, customize, and deploy solutions rapidly as business needs evolve.
· Own delivery from discovery and architecture through implementation and deployment.
· Bridge business operations, product management, and engineering.
· Deliver reliable, secure, and scalable solutions in regulated financial environments.
AI/ML & Intelligent Automation
· Identify practical opportunities to embed AI/ML in enterprise applications.
· Integrate LLM APIs, AI-powered services, and automation into Java systems.
· Support AI-driven workflows for credit processing, financial operations, and decision support.
· Collaborate with AI and data teams to operationalize solutions.
· Evaluate generative AI, retrieval-augmented generation (RAG), and AI agents.
Required Qualifications
· 8+ years in enterprise software development and technical solution delivery.
· Strong Java, Spring Boot, REST API, and microservices experience.
· Hands-on experience with AWS or Azure and distributed systems.
· Experience with enterprise integrations, SQL, and system architecture.
· Familiarity with CI/CD, Docker, Kubernetes, and DevOps practices.
· Strong client-facing communication, ownership, and problem-solving skills.
Preferred Qualifications
· Banking, lending, consumer finance, or financial services background.
· Exposure to AI/ML, generative AI, LLMs, and intelligent automation.
· Experience connecting Python-based AI services with Java applications.
· Familiarity with credit operations, loan origination, or underwriting.
· Experience leading engineering initiatives and working with security and compliance requirements.
Ideal Candidate
A hands-on technical leader who can work directly with business teams, understand financial workflows, architect solutions, and actively contribute code. Strong Java engineering experience and practical AI integration exposure are particularly valuable.
