Adobe Systems

4 months ago

Senior AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Seasoned software engineer focusing on scalable AI platforms and agentic systems. You’ll design end-to-end AI infrastructure for agentic experiences, orchestrate LLM-powered workflows, memory and tool integration, and build production-grade inference/runtime systems with low latency and observability. You’ll mentor engineers, influence architectural direction, and collaborate with research and product teams to deploy intelligent, adaptable AI capabilities at scale.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•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.
•Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform architecture.

Key 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
•Proficiency in TypeScript, Python and at least one systems language (Java, Go, C++), with experience building production AI services
•Strong experience building AI-powered systems using LLM orchestration frameworks, model routing strategies, and multi-model pipelines
•Hands-on experience designing agentic systems — including memory persistence, tool integration, state management, and multi-agent coordination

Experience:10+ yearsAI platformsDistributed systemsCloud-nativeLLM orchestration

Skills:CommunicationMentoringLeadershipProblem-solving

Tech Stack:TypeScriptPythonJavaGoC++LLMsLlm orchestrationModel routingMemory storesInference

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

4 months ago

Senior AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•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.
•Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform architecture.

Key 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
•Proficiency in TypeScript, Python and at least one systems language (Java, Go, C++), with experience building production AI services
•Strong experience building AI-powered systems using LLM orchestration frameworks, model routing strategies, and multi-model pipelines
•Hands-on experience designing agentic systems — including memory persistence, tool integration, state management, and multi-agent coordination

Experience:10+ yearsAI platformsDistributed systemsCloud-nativeLLM orchestration

Skills:CommunicationMentoringLeadershipProblem-solving

Tech Stack:TypeScriptPythonJavaGoC++LLMsLlm orchestrationModel routingMemory storesInference

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor