Forward Deployed Engineer

ServIT Consulting LLC
Charlotte, NC, United States
8 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Cloud Computing Continuous Integration Decision Support Systems DevOps Distributed Systems Python (Programming Language) Machine Learning
+16 more
Software Engineering SQL Databases Systems Architecture Systems Integration Java Application Server Enterprise Software Applications Large Language Models Spring-boot Generative AI Backend Agentic-AI AI Platforms Kubernetes Restful APIs Docker Microservices

Job description

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., Β· Design, develop, and deploy enterprise applications using Java, Spring Boot, and microservices.

Β· Lead solution architecture, technical design, and hands-on implementation.

Β· Translate business challenges into technical requirements and deployable solutions.

Β· Build REST APIs, backend services, and enterprise integrations.

Β· Diagnose complex issues across development, integration, and production.

Forward Deployed Engineering

Β· Engage directly with client teams to identify modernization and automation opportunities.

Β· Prototype, customize, and deploy solutions rapidly as business needs evolve.

Β· Own delivery from discovery and architecture through implementation and deployment.

Β· Bridge business operations, product management, and engineering.

Β· Deliver reliable, secure, and scalable solutions in regulated financial environments.

AI/ML & Intelligent Automation

Β· Identify practical opportunities to embed AI/ML in enterprise applications.

Β· Integrate LLM APIs, AI-powered services, and automation into Java systems.

Β· Support AI-driven workflows for credit processing, financial operations, and decision support.

Β· Collaborate with AI and data teams to operationalize solutions.

Β· Evaluate generative AI, retrieval-augmented generation (RAG), and AI agents.

Requirements

Β· 8+ years in enterprise software development and technical solution delivery.

Β· Strong Java, Spring Boot, REST API, and microservices experience.

Β· Hands-on experience with AWS or Azure and distributed systems.

Β· Experience with enterprise integrations, SQL, and system architecture.

Β· Familiarity with CI/CD, Docker, Kubernetes, and DevOps practices.

Β· Strong client-facing communication, ownership, and problem-solving skills., Β· Banking, lending, consumer finance, or financial services background.

Β· Exposure to AI/ML, generative AI, LLMs, and intelligent automation.

Β· Experience connecting Python-based AI services with Java applications.

Β· Familiarity with credit operations, loan origination, or underwriting.

Β· Experience leading engineering initiatives and working with security and compliance requirements., 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.

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