Description

Essential Skills:
Forward Deployed Engineering AI RAG LLM vector database  SQL Digital  Python Digital  ReactJS TypeScript Digital 
Application Programming Interface API GraphQL REST API Data Architecture and Modeling Digital  Docker Digital  Microsoft Azure Digital  Amazon Web Service
AWS Cloud Computing prompt engineering ML Flow Lang Chain LangGraph CrewAI Workflow Automation  Integrations System Architecture Knowledge Digital 
Microservices Copilot cursorSoft Skills GIthub
 
Core Responsibilities
 
Partner directly with teams across Communications, Legal, and Enterprise Engineering to redesign work with AI. 
Embed with customer teams to understand their workflows, identify opportunities, and build AI solutions that deliver measurable business value. 
Own technical delivery from prototype through production, balancing speed, quality, and long-term maintainability. 
Build full-stack AI applications, agents, automations, and integrations that transform how work gets done. 
Lead rapid prototyping, remove blockers, and contribute directly in the code when needed. 
Drive adoption by partnering closely with customers through deployment and iteration. 
Turn successful customer solutions into reusable platforms, services, and playbooks that accelerate future deployments. 
Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities.
 
Required Skills
12+ years of experience in engineering, infrastructure, developer tools,
12+ applied AI, or customer engineering environments
Deep curiosity around AI-native software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fast-moving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency"
 
Role Descriptions:
The AI Solutions  Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering FDE framework By embedding engineers directly within business units this position collaborates closely with teams to redesign operational processes deliver production ready solutions using AI that can be successfully scaled into enterprise wide platform capabilities Core Responsibilities Partner directly with teams across Communications Legal and Enterprise Engineering to redesign work with AI 
Embed with customer teams to understand their workflows identify opportunities and build AI solutions that deliver measurable business value 
Own technical delivery from prototype through production balancing speed quality and long-term maintainability 
Build fullstack AI applications agents automations and integrations that transform how work gets done 
Lead rapid prototyping remove blockers and contribute directly in the code when needed  Drive adoption by partnering closely with customers through deployment and iteration 
Turn successful customer solutions into reusable platforms services and playbooks that accelerate future deployments 
Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities

Skills:

ML, DATA ARCHITECTURE, GITHUB, CLOUD COMPUTING, SQL, REACTJS, PYTHON, AI, MICROSOFT AZURE, APPLICATION PROGRAMMING INTERFACE, TYPESCRIPT, DOCKER, API, GRAPHQL, MODELING, WORKFLOW AUTOMATION, FDE, Forward Deployment Engineer

Key Skills

Education

Any Graduate