> Markdown version of [/jobs/ext/1991316-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1991316-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Adobe Systems - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $183,300.0 - $265,350.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe Acrobat, Adobe Creative Cloud, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Systems Engineering, C++ (Programming Language), Cloud Computing, Cloud Engineering, Distributed Systems, Python (Programming Language), Open Source Technology, Systems Development Life Cycle, Data Streaming, Systems Architecture, TypeScript, Scripting, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Adobe, AI Platforms, Virtual Agents, Golang, Microservices - **Published:** August 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-platform-engineer-san-jose-ca--23ece3b7-7de6-48da-a9ba-615331f9dfe6 ## About the Role * 10+ years of experience building large-scale distributed systems, AI platforms, or intelligent service architectures. * Deep understanding of how LLMs behave in production environments - including prompting strategies, reasoning chains, tool usage, grounding techniques, hallucination mitigation, guardrails, and evaluation patterns. * Strong experience building AI-powered systems using LLM orchestration frameworks, model routing strategies, and multi-model pipelines. * Hands-on experience designing agentic systems - including reasoning loops, memory persistence, tool integration, state management, and multi-agent coordination. * Proven expertise in building scalable, cloud-native, microservices-based architectures with strong observability and reliability. * Experience designing evaluation systems for generative AI quality, task completion, and behavioral robustness. * Proficiency in TypeScript, Python and at least one systems language (Java, Go, C++), with experience building production AI services. * Strong systems thinking - ability to connect model capabilities, runtime constraints, and product requirements into coherent architectures. * Excellent multi-functional communication skills, with experience influencing architectural direction across research and engineering teams., * Experience architecting AI assistants, copilots, or agent platforms in production environments. * Experience working with multimodal generative systems (text, image, video, motion). * Familiarity with tool-augmented LLM systems, RAG architectures, vector databases, and contextual memory systems. * Exposure to evaluation frameworks for generative AI quality and safety. * Experience contributing to open-source AI frameworks or publishing technical thought leadership. About Adobe, Adobe Acrobat, Adobe Product Family, Adoption, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), C++ Programming Language, Cloud Computing, Communication Skills, Compensation and Benefits, Content Development, Continuous Improvement, Cross-Functional, Customer Experience, Data Analysis, Design Evaluation, Design Flows, Distributed Computing, Go Programming Language (Golang), Java, Large-Scale Systems, Memory Hardware, Mentoring, Microservices, Open Source, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Quality Metrics, Safety/Work Safety, Scalable System Development, Semantic Reasoner, System Architecture, Systems Engineering, Technical Publications, Thought Leadership ## Description * Architect and evolve the AI platform powering Adobe Engineering - with a strong emphasis on Agentic AI systems and LLM-native architectures. * Design and implement scalable orchestration layers that coordinate LLMs, tools, APIs, memory stores, and multi-step reasoning workflows. * Build production-grade agent frameworks that support planning, task decomposition, tool invocation, multi-agent collaboration, and persistent memory. * Develop high-performance inference and runtime systems with strong guarantees around latency, reliability, observability, and cost efficiency. * Design evaluation and feedback systems that measure reasoning quality, task success, hallucination rates, and agent behavior - enabling rapid iteration and continuous improvement. * Integrate first-party and third-party foundation models into cohesive, adaptive systems using routing, model selection, guardrails, and fallback strategies. * Design data flows, session-level intelligence, and contextual memory systems that allow agents to operate coherently across interactions. * Partner with applied research, product, and platform teams to bring intelligent agentic capabilities into real developer-facing experiences. * Drive architectural strategy for AI for Engineering - connecting models, reasoning engines, tools, and data streams into adaptive AI systems. * Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform architecture. ## Related Videos - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Intermediate Bitcoin Script](https://www.wearedevelopers.com/videos/25-intermediate-bitcoin-script) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)