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AI Forward Deployment Engineer

Galaxy i Technologies, Inc.Sunnyvale, CA🇺🇸United StatesPosted 15 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Sunnyvale, CA, United States
Posted
19 hours ago
DockerMicroservicesSQLAWSAzureGraphQLLLMPythonRESTTypeScript

Job Description

 
Title: AI Forward Deployment Engineer
Location: Sunnyvale, CA
 
Strong resource who is well versed as a Full Stack Developer with legal
 
AI Solutions & Experience Lead (Forward Deployed Engineering)
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; cursor,Soft Skills; GIthub,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 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, 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 productionready solutions using AI that can be successfully scaled into enterprisewide 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 longterm 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 Required Skills 12 years of experience in engineering infrastructure developer tools applied AI or customer engineering environments Deep curiosity around AInative 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 fastmoving 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
 
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 ServiceAWS Cloud Computing prompt engineering ML Flow Lang Chain LangGraph CrewAI Workflow Automation Integrations System Architecture Knowledge Digital Microservices Copilot cursorSoft Skills GIthub
 
Desirable Skills:
Keyword Skills: Digital :
Microsoft AzureDigital : PythonDigital : Amazon Web
Service(AWS) Cloud ComputingDigital : ReactJS Digital : Microservices
Experience Required: 10 & Above

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