Senior / AI Agent Engineer, Brand Concierge

Adobe Adobe · Enterprise · San Jose, CA

Senior AI Agent Engineer role focused on designing, building, and maintaining intelligent agents for enterprise use cases like customer experience, discovery, support, and lead qualification. Responsibilities include agent development, multi-agent communication, workflow orchestration, lifecycle management, continuous improvement, and deployment. Requires experience with LLM frameworks, conversational agents in production, and cloud platforms.

What you'd actually do

  1. Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification
  2. Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations
  3. Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation
  4. Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel
  5. Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards)

Skills

Required

  • 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)
  • Comfort with prompt design, vector databases, and memory handling strategies

Nice to have

  • Experience with multi-agent frameworks or agent orchestration systems
  • Familiarity with observability tools, data labeling workflows, or synthetic data generation
  • Background in conversational design or dialogue management systems
  • Degree in Computer Science, Data Science, Engineering, or a related field

What the JD emphasized

  • AI Agent Engineer
  • intelligent agents
  • full lifecycle of agent development
  • scaling our AI strategy
  • production environments
  • conversational agents or workflow bots in production environments
  • multi-agent frameworks or agent orchestration systems

Other signals

  • building intelligent agents
  • full lifecycle of agent development
  • scaling our AI strategy
  • optimizing agent workflows
  • production environments