AI Software Engineer, Forward Deployed

Adobe•San Jose, CA

36d•Hybrid

About The Position

You are the core of Adobe's Forward Deployed Engineering org. You prototype in days, productionize in weeks, and ship real GenAI applications that transform how the world's biggest brands create content. You own the full lifecycle from first customer conversation to production deployment. You embed directly with enterprise customer teams. You understand their problems, build working software, deploy it, and make it durable. You extract reusable patterns into shared libraries and frameworks so the next engagement goes 2x faster. You are a product engineer who happens to work at the frontier of customer problems. If you thrive at the intersection of building software and solving real business problems — and you can't stop tinkering with AI — this is your role.

Requirements

3 to 8+ years building and shipping production software.
Full-stack experience: React/Next.js, Node.js/Python, REST/GraphQL, databases.
Hands-on GenAI experience: built on LLMs (GPT, Claude, Gemini, Llama, Mistral or equivalent), built RAG pipelines, used embeddings, vector databases, and prompt engineering.
Experience with agent frameworks (LangGraph, CrewAI, deepagents, Claude Agent SDK or equivalent).
Ideally shipped GenAI applications in production.
AI-native workflow: use AI coding tools daily — Cursor, Claude Code, Copilot, Codex.
Experience building or extending MCP servers, creating custom agents, or automating workflows with AI.
Cloud & DevOps fluency: Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI), cloud platforms (AWS, Azure, or GCP).
Customer-facing communication skills: translate complex AI concepts for both engineers and executives.
Comfortable in a room with a customer's technical team.
Bias for action: prototype, show the work, get feedback, iterate.

Nice To Haves

Former founder or early-stage startup engineer who's built a product from scratch
Open-source contributions, personal AI projects, or a technical blog showing what you build in your own time
Experience building content/asset production systems, MarTech platforms, or creative workflow tools — especially at ad agencies, creative studios, or marketing technology companies (e.g., Publicis, Monks, R/GA, Accenture Song, WPP, Omnicom, Dentsu, Havas, WongDoody, Designit, Code & Theory).
Experience with video/media processing pipelines, video APIs, or multi-modal AI systems (text-to-video, image-to-video, video reformulation, dubbing)
Built multi-agent systems, MCP integrations, or agentic CI/CD pipelines
Adobe ecosystem familiarity (Firefly Services, AEM, Workfront, App Builder, Frame.io) is a plus but not required

Responsibilities

Build end-to-end. Design, develop, and deploy full-stack GenAI applications — prototype to production. No throwing things over a wall.
Embed with customers. Work directly with enterprise teams to understand requirements, run technical workshops, and co-build solutions. You're their trusted technical partner.
Contribute to the platform. Extract reusable patterns, build shared libraries, improve CI/CD templates, write playbooks. What you build once, the whole org uses.
Drive product feedback. Capture field-proven use cases and funnel them to Product. You're the voice of what customers actually need.
Move fast, ship often. Prototype rapidly with an experiment-first mindset. Validate with customers. Iterate. Deploy. Repeat.
Stay at the frontier. This field changes weekly. You keep up — new models, new frameworks, new capabilities. You bring what you learn back to the team.