Why This Role Stands Out
This hybrid role offers a dynamic opportunity to lead AI-driven workflow transformation and build cutting-edge solutions from prototype to production, leveraging your deep expertise in AI, LLMs, and full-stack development. You will thrive here if you are a seasoned engineer passionate about embedding AI directly into business processes and driving significant impact, with a competitive salary of approximately $161K. Embrace this chance to innovate and shape the future of enterprise AI by applying today.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Sunnyvale, CA, United States
Posted
23 hours ago
DockerMicroservicesSQLAWSAzureGraphQLLLMPythonRESTTypeScript
Job Description
Job Title
AI Solutions & Experience Lead (Forward Deployed Engineering)
Work Location (State, City and Zip)Sunnyvale,USA
Base salary range (Min. & Max. to be mentioned)~$161K
Experience Range:12 Years
Must Have Technical/Functional 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; cursor
Roles & Responsibilities
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
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