Forward Deployed Engineer – Agentic

Role Overview
We are seeking a highly entrepreneurial Forward Deployed Engineer (FDE) to help design and deploy AI-native transformation solutions for enterprise clients. This role sits at the intersection of business strategy, AI engineering, systems thinking, and operational transformation. The ideal candidate can work directly with executive stakeholders to translate complex business problems into scalable agentic workflows and intelligent operating models.

Key Responsibilities

• Embedded Problem Solver: Work directly with customers to lead enterprise AI-native transformation initiatives focused on portfolio management, governance, delivery orchestration, and operational intelligence.
  
• Production-Grade Solutions: Design and operationalize multi-agent systems and AI workflows for planning, prioritization, risk management, and decision support.
  
• End-to-End Ownership: Partner with executives, product teams, architects, and engineers to align business outcomes with technical implementation.
  
• Technical Consulting: Build rapid prototypes, proofs of concept, and scalable transformation accelerators using modern AI and orchestration frameworks.
  
• AI Operating Model Design: Define reusable patterns for human-in-the-loop governance, observability, agent coordination, and enterprise AI adoption.
  

Qualifications

• Strong systems thinking with the ability to bridge business strategy, operating models, and technical execution to drive measurable transformation outcomes.
  
• Experience building AI-native applications leveraging LLMs, workflow orchestration, and multi-agent systems.
  
• Hands-on experience leveraging modern AI engineering and developer acceleration tools such as Cursor, Windsurf, Claude Code, Codex, and related AI-native tooling to rapidly prototype, iterate, and scale transformation initiatives.
  
• Hands-on experience with agent orchestration frameworks, retrieval architectures, and semantic knowledge systems including LangGraph, LangChain, vector databases, knowledge graphs, and RAG-based architecture.
  
• Experience operating in enterprise transformation, consulting, product operations, platform engineering, or digital transformation environments.
  
• Strong executive communication, stakeholder management, and cross-functional collaboration skills with the ability to work directly with senior business and technology leaders.
  
• Ability to operate in rapid sprint-based delivery environments, driving 1–2-week POD execution cycles from problem definition through implementation and adoption.
   
  

What Success Looks Like

Within the first 6–12 months, you will:

• Deploy AI-native portfolio management solutions with measurable business impact.
  
• Establish reusable agentic transformation patterns and accelerators.
  
• Help enterprise clients shift from static governance models to continuous intelligent operations.
  
• Reduce operational overhead through automation and intelligent orchestration.
  
• Improve executive visibility, prioritization quality, and delivery predictability.
  
• Shape the firm’s long-term AI-native transformation strategy.
  

This role is ideal for someone who:

• Thinks like a systems architect but communicates like a strategist.
  
• Can move seamlessly between whiteboarding with executives and debugging orchestration flows.
  
• Understands both organizational transformation and AI implementation realities.
  
• Is energized by solving messy enterprise problems rather than building isolated technical features.
  
• Wants to help define the next generation of enterprise operating models powered by autonomous AI systems.
  

 Why Join Us
This role is ideal for builders who thrive in ambiguity, enjoy solving complex enterprise problems, and want to shape the future of AI-native operating models and agentic enterprise systems.