Hi,
Forward Deployed Engineer
Financial Services
Charlotte, NC (Hybrid)
Contract:12
8+ Years 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.
Thanks & Regards
Nikhil.CH | Sr. Recruiter