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NEXTMOVEFDE careers · United States
Adobe

Senior / AI Agent Engineer, Brand Concierge

AI summary of the role

Senior AI Agent Engineer at Adobe's Brand Concierge team, responsible for designing, building, and maintaining intelligent agents for customer experience use cases like discovery, support, and lead qualification.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Build and fine-tune specialized AI agents for customer experience use cases such as discovery, support, and lead qualification
  • Implement prompt engineering, memory handling, resource management, and tool-calling integrations
  • Design multi-agent communication protocols and orchestrated workflows using LangChain, AutoGen, or Semantic Kernel
  • Create reusable agent templates and modular components for deployment across business units

What you’ll bring

  • 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development
  • Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines)
  • Experience building conversational agents or workflow bots in production environments
  • Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s)

Technologies

LLM · LangChain · AutoGen · Semantic Kernel · OpenAI APIs · RAG · Python · Docker · Kubernetes · AWS · GCP · Azure

About Adobe

Builds creative, document, and enterprise customer-experience software, now embedding Firefly AI and agents across creator and marketer workflows.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

The Opportunity We are looking for a hands-on, systems-oriented Senior AI Agent Engineer to design, build, and maintain intelligent agents that drive automation and business impact across the enterprise. This role is responsible for the full lifecycle of agent development — from design to versioning, orchestration, and continuous learning. You’ll contribute directly to scaling our AI strategy by engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments. What you'll Do Agent Development Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations Multi-Agent Communication Adopt agent-to-agent communication protocols and handoff
More from the job description

The Opportunity We are looking for a hands-on, systems-oriented Senior AI Agent Engineer to design, build, and maintain intelligent agents that drive automation and business impact across the enterprise. This role is responsible for the full lifecycle of agent development — from design to versioning, orchestration, and continuous learning. You’ll contribute directly to scaling our AI strategy by engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments. What you'll Do Agent Development Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations Multi-Agent Communication Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel Templates & Reusability Create reusable agent templates and modular components to accelerate deployment across business units Build plug-and-play configurations for domain-specific requirements Lifecycle Management & Monitoring Track and improve conversation quality, task success rate, user satisfaction, and performance metrics Auto [... source excerpt omitted ...] edge base updates, drift detection, performance degradation, and integration of new business logic Ensure agents stay aligned with evolving enterprise data sources and compliance requirements Deployment Manage agent versioning, testing pipelines (unit, regression, UX), and controlled rollout processes Collaborate with DevOps, QA, and infrastructure teams to ensure scalable deployments What you need to succeed 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines) Experience building conversational agents or workflow bots in production environments Familiarity with [... source excerpt omitted ...] ence, Engineering, or a related field About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where

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