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THEMESOFT

Onsite_Forward Deployed Engineer- AI Solutions_ Sunnyvale, CA

$146K - $156K Sunnyvale, CA, US Mid Posted September 30, 2026

Role Description

Location: Sunnyvale,CA WA

Duration: 6 months

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 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

Work Authorization

Applicants must be legally authorized to work in the United States.

Equal Employment Opportunity

Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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