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

Job Title

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

Job Title

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

Role Overview

The Forward Deployed Engineer (FDE) is a hands‐on, customer‐facing engineering leader who bridges business intent and production‐grade AI solutions. The FDE works directly with business stakeholders, product owners, and platform teams to translate ideas into deployable solutions using an enterprise‐enabled agentic AI platform and a governed adoption framework.

This role blends solution engineering, AI engineering, and delivery leadership, with strong ownership from problem discovery architecture build deployment optimization. The FDE operates close to customers and internal product teams, ensuring solutions deliver measurable business outcomes while meeting enterprise, security, and compliance standards.

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

3. Frontier Models & Context Engineering

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

• Perform context engineering:

• 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

• GitHub Copilot

• 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

5. Intelligent CI/CD & MLOps

• 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

7. Customer & Stakeholder Engagement

• 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.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.