Forward Deployed Engineer (FDE) - Agentic AI & Enterprise Solutions

Galent; Wilmington (DE); On-site; USD 120,000 - 190,000; Full time

Job summary

Galent is hiring a Forward Deployed Engineer to turn business goals into AI-enabled solutions across multiple US cities, including NYC, Jersey City, Wilmington, and more. You will design agentic workflows, integrate LLMs into enterprise stacks, and own delivery from prototype to production.

You will build AI-first developer tooling, implement CI/CD and security controls, and collaborate with stakeholders to ensure scalable, reliable, and compliant solutions.

Qualifications

• Strong background in software engineering (backend, APIs, distributed systems).
• Experience building production grade cloud native platforms/applications.
• Proficiency in at least one modern programming language (Python, Java, Go, or similar).
• Solid understanding of system design, scalability, and reliability.
• Skilled in hyperscale platforms (AWS, GCP, Azure, OpenShift).
• Hands on experience with agentic AI frameworks and orchestration patterns.

Responsibilities

• Partner with stakeholders to translate problems into AI-enabled designs and architectures.
• Own end-to-end delivery from prototype to production rollout.
• Deploy enterprise integrations while ensuring security, reliability, and performance.
• Design agentic workflows and orchestrate multi-agent systems.
• Apply human-in-the-loop, guardrails, and fallback mechanisms where required.
• Work with frontier models and enterprise model stacks; prompt design and grounding.
• Develop AI-first tooling, CI/CD pipelines, and DevSecOps integration.
• Ensure governance, security, and compliance across deployments.

Skills

Backend APIs

Distributed systems

Cloud AWS

Cloud GCP

Cloud Azure

Python

Java

Go

LLMs

Prompt engineering

RAG

MLOps

DevSecOps

Cursor

GitHub Copilot

Tools

Cursor

GitHub Copilot

Job description

Role:- Forward Deployed Engineer (FDE) - Agentic AI & Enterprise Solutions

Location:- NYC, NY/ Jersey City, NJ/ Wilmington, DE/ Columbus, OH/ Plano, TX/ Houston, TX / Chicago, IL

Key Responsibilities

1. Idea to Production Solution Delivery

• Partner with business stakeholders to understand problem statements, workflows, and desired outcomes


• Convert business intent into AI enabled solution designs, agent workflows, and system architectures


• Own end to end delivery: prototype ? MVP ? production rollout


• Deploying enterprise complex systems integrations while solving critical business problems


• Drive rapid iteration while maintaining enterprise grade quality, security, and reliability

2. Agentic AI Solution Engineering

• Design and implement agentic workflows using enterprise agentic AI platforms


• Orchestrate multi agent systems that handle reasoning, planning, execution, validation, and monitoring


• Encode business logic, SOPs, policies, and controls into autonomous or semi autonomous agents


• Apply human in the loop, guardrails, and fallback mechanisms where required


• Work with frontier foundation models (LLMs, multimodal models) and enterprise approved model stacks


• Prompt design and prompt chaining


• Tool grounding and retrieval augmented generation (RAG)


• Knowledge graph and memory integration


• Optimize solutions for accuracy, latency, cost, and reliability

4. AI First Engineering & Developer Tooling

Leverage AI assisted development tools to accelerate delivery:

• Cursor


• AI assisted testing, code review, and refactoring tools


• Establish AI augmented engineering workflows across design, build, test, and release phases


• Coach teams on effective human AI collaboration in engineering

Design and implement intelligent CI/CD pipelines integrating:

• AI generated code and test artifacts


• Policy and control validation


• Automated security and compliance checks


• Integrate agentic workflows into DevSecOps / MLOps pipelines


• Ensure repeatable, auditable, and scalable deployments across environments

6. Enterprise Readiness & Governance Alignment

Ensure solutions comply with:

• Security, privacy, and data handling policies


• Model risk management and AI governance frameworks


• Regulatory and audit requirements (especially in regulated industries)


• Collaborate with platform, security, and governance teams to operationalize guardrails


• Contribute patterns, blueprints, and reusable assets to the enterprise AI platform


• Act as a trusted technical advisor to customers and internal stakeholders


• Present architectures, demos, and outcomes to engineering leaders, business heads, and executives


• Gather feedback from production usage and continuously improve solutions


• Serve as the \"voice of the customer\" back into platform and product teams

Required Skills & Experience

Core Engineering & Architecture

• Strong background in software engineering (backend, APIs, distributed systems)


• Experience building production grade cloud native platforms/applications


• Proficiency in at least one modern programming language (Python, Java, Go, or similar)


• Solid understanding of system design, scalability, and reliability


• Skilled in hyperscale platforms (AWS, GCP, Azure, OpenShift)

Agentic AI & AI Engineering

• Hands on experience with agentic AI frameworks and orchestration patterns (n8n, LangGraph, Semantic Kernel, CrewAI, etc.)


• Experience working with LLMs / foundation models in enterprise settings (Claude, Gemini, OpenAI)


• Strong skills in prompt engineering, context engineering, and tool integration


• Understanding of RAG, memory systems, and knowledge grounding


• Spec driven development - Architecture, Security and Application frameworks.

AI Tooling & Productivity

• Practical experience using Cursor, GitHub Copilot, or similar AI coding tools


• Familiarity with AI assisted testing, documentation, and code review


• Ability to design AI first developer workflows

DevOps, CI/CD & Platform Integration

• Experience with CI/CD pipelines, infrastructure as code, and cloud platforms


• Understanding of DevSecOps and automated control enforcement


• Familiarity with MLOps concepts for model lifecycle and monitoring


• Strong problem solving and analytical mindset


• Ability to work in ambiguous, fast moving environments


• Excellent communication skills with both technical and non technical stakeholders


• Customer centric mindset with ownership and accountability


• Good handle on Complex enterprise system integrations

Preferred Qualifications

• Experience in regulated industries (banking, financial services, healthcare, etc.)


• Exposure to AI governance, model risk, and compliance frameworks


• Prior experience in customer facing engineering roles (FDE, Solutions Engineer, Field Engineer)


• Experience contributing to platform blueprints, accelerators, or internal frameworks

What Success Looks Like

• Business ideas move to production faster and with higher confidence


• Agentic AI solutions deliver measurable business outcomes


• Engineering teams adopt AI first workflows with strong governance


• Customers trust the platform and the FDE as a strategic delivery partner

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf