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Senior AI Agent Engineer, Brand Concierge

at Adobe

Back to all Data Science / AI / ML jobs
A
Industry not specified

Senior AI Agent Engineer, Brand Concierge

at Adobe

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
$172,500 – $306,625 USD

Currency: $ (USD)

City
Not specified
Country
United States

Hands-on,systems-oriented AI Agent Engineer to design, build, and maintain intelligent agents that automate business processes across the enterprise. Own the full lifecycle of agent development from design to versioning, orchestration, and continuous learning, while scaling reusable components and optimizing agent workflows. Collaborate on multi-agent coordination and tool-integrations using frameworks like LangChain, AutoGen, or Semantic Kernel, with a focus on production readiness and monitoring. Drive continuous improvement of agent performance, conversation quality, and governance across business units.

JOB DESCRIPTION

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

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
    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.

    State-Specific Notices:

    California:

    Fair Chance Ordinances

    Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

    Colorado:

    Application Window Notice

    There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

    Massachusetts:

    Massachusetts Legal Notice

    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

    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. Learn more.

    Adobe aims to make Adobe.com accessible to any and all users. 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.

    Senior AI Agent Engineer, Brand Concierge

    at Adobe

    Back to all Data Science / AI / ML jobs
    A
    Industry not specified

    Senior AI Agent Engineer, Brand Concierge

    at Adobe

    Mid LevelNo visa sponsorshipData Science/AI/ML

    Posted 4 hours ago

    No clicks

    Compensation
    $172,500 – $306,625 USD

    Currency: $ (USD)

    City
    Not specified
    Country
    United States

    Hands-on,systems-oriented AI Agent Engineer to design, build, and maintain intelligent agents that automate business processes across the enterprise. Own the full lifecycle of agent development from design to versioning, orchestration, and continuous learning, while scaling reusable components and optimizing agent workflows. Collaborate on multi-agent coordination and tool-integrations using frameworks like LangChain, AutoGen, or Semantic Kernel, with a focus on production readiness and monitoring. Drive continuous improvement of agent performance, conversation quality, and governance across business units.

    JOB DESCRIPTION

    Our Company

    Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

    We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

    The Opportunity

    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
      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.

      State-Specific Notices:

      California:

      Fair Chance Ordinances

      Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

      Colorado:

      Application Window Notice

      There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

      Massachusetts:

      Massachusetts Legal Notice

      It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

      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. Learn more.

      Adobe aims to make Adobe.com accessible to any and all users. 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.

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