Forward Deployed Engineer

Coforge; Berkeley Heights (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

Coforge is seeking a Forward Deployed Engineer to work with business, operations, product and engineering teams to design and deploy AI-powered solutions across financial-services workflows. The role combines software engineering, AI expertise and domain knowledge to move solutions from discovery through production deployment and continual improvement.

Responsibilities include identifying opportunities for AI agents, translating needs into agent workflows, building agents for payments

Qualifications

• Experience in software engineering and AI engineering for enterprise apps.
• Proficiency with LLMs, RAG, prompt engineering and agent frameworks.
• Strong API/database integration and event-driven design.
• Knowledge of cloud platforms, CI/CD, observability and production support.
• Excellent stakeholder management and communication.

Responsibilities

• Understand business workflows and system constraints.
• Identify opportunities for AI agents and workflow automation.
• Translate needs into agent workflows and measurable outcomes.
• Build agents for payments, onboarding, routing, knowledge search and diagnostics.
• Develop using LLMs, RAG, tool calling, APIs and human-in-the-loop workflows.
• Integrate agents with financial apps, ServiceNow, Jira, CRM and monitoring tools.
• Turn prototypes into secure, production-grade solutions.
• Define evaluations for accuracy, latency, security and value.
• Implement monitoring, access controls and rollback mechanisms.
• Collaborate with architecture, cybersecurity, risk and compliance teams.
• Support deployments and drive continual improvement.

Skills

Software engineering

AI engineering

DevOps

Platform engineering

Enterprise applications

LLMs

RAG

Prompt engineering

Agent frameworks

Tool calling

APIs

Databases

Event-driven systems

Cloud platforms

CI/CD

Observability

Tools

LangGraph

Semantic Kernel

AutoGen

CrewAI

vector databases

Docker

Kubernetes

Datadog

Splunk

AWS

Azure

Google Cloud

Job description

Role: Forward Deployed Engineer - Agentic AI Financial Services and Fintech

Mode of Hire: Full Time

Role Overview

We are seeking a Forward Deployed Engineer (FDE) to work directly with business, operations, product and engineering teams to design and deploy AI-powered solutions across financial-services workflows. The FDE will combine software engineering, AI expertise and domain knowledge to take solutions from discovery and prototyping through production deployment, adoption and continuous improvement.

Responsibilities

• Understand business workflows, operational challenges and system constraints.
• Identify high-value opportunities for AI agents, copilots and workflow automation.
• Translate business needs into solution designs, agent workflows and measurable outcomes.
• Build agents for customer and advisor support, payment operations, merchant onboarding, ticket routing, knowledge search, incident diagnosis, reconciliation, exception handling, testing and release support.
• Develop solutions using LLMs, retrieval-augmented generation (RAG), tool calling, APIs and human-in-the-loop workflows.
• Integrate agents with financial applications, databases, ServiceNow, Jira, CRM and monitoring platforms.
• Convert successful prototypes into secure, scalable production solutions.
• Define evaluations for accuracy, reliability, latency, security and business value.
• Implement monitoring, audit logging, access controls, fallback and rollback mechanisms.
• Partner with architecture, cybersecurity, risk and compliance teams.
• Support production deployments and continuously improve solutions based on user feedback.

Skills Required

• 5+ years of experience in software engineering, AI engineering, platform engineering, DevOps or enterprise application development.
• Experience with LLMs, RAG, prompt engineering, agent frameworks and tool calling.
• Experience integrating applications using APIs, databases and event-driven systems.
• Understanding of cloud platforms, CI/CD, observability and production support.
• Strong problem-solving, stakeholder-management and communication skills.
• Ability to take solutions from ambiguous requirements through production deployment.

Preferred Skills

• Experience in payments, banking, wealth management, brokerage, lending or merchant services.
• Knowledge of financial-services security, privacy, compliance and audit requirements.
• Experience with ServiceNow, Jira, Datadog, Splunk, AWS, Azure or Google Cloud.
• Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, vector databases, Docker or Kubernetes.
• Previous consulting, solutions-engineering or customer-facing technical experience.
• Success Measures
• Production agents deployed and adopted.
• Reduction in manual effort and processing time.
• Improved operational and engineering productivity.
• Reduced incident-resolution time and recurring issues.
• Agent accuracy, reliability and successful-execution rates.
• Compliance with security, risk and audit requirements.