Senior AI Platform Engineer
Role details
Job location
Tech stack
Job 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.
Requirements
- 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
Benefits & conditions
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $211,800 - $306,625
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.