Forward Deployed Engineer Agentic

About the Job

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.