Senior AI Agent Engineer, Brand Concierge
Adobe, San Jose, CA, United States
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AI Agent Engineer
role at
Adobe .
Overview
We are looking for a hands-on, systems-oriented 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
Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards)
Continuous Improvement: Implement learning workflows, including human-in-the-loop feedback and automatic retraining
Refine prompts and model behavior through structured experimentation and feedback loops
Maintenance & Governance: Handle knowledge 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 cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s)
Comfort with prompt design, vector databases, and memory handling strategies
Preferred Qualifications
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
Compensation & Notices
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 $162,000 -- $301,200 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.
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.
State-Specific Notices
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Adobe accepts applications for this role on an ongoing basis where applicable. The posting will remain open based on hiring needs and position availability.
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AI Agent Engineer
role at
Adobe .
Overview
We are looking for a hands-on, systems-oriented 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
Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards)
Continuous Improvement: Implement learning workflows, including human-in-the-loop feedback and automatic retraining
Refine prompts and model behavior through structured experimentation and feedback loops
Maintenance & Governance: Handle knowledge 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 cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s)
Comfort with prompt design, vector databases, and memory handling strategies
Preferred Qualifications
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
Compensation & Notices
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 $162,000 -- $301,200 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.
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.
State-Specific Notices
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Adobe accepts applications for this role on an ongoing basis where applicable. The posting will remain open based on hiring needs and position availability.
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