Skip to content
NEXTMOVEFDE careers · United States
Adobe

Senior / Prompt Engineer (AI/ML), Brand Concierge

AI summary of the role

This Senior Prompt Engineer role at Adobe focuses on designing, testing, and integrating LLM strategies for enterprise agent workflows.

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

What you’ll do

  • Develop prompt templates and multi-step chains for business functions like sales enablement, support, and knowledge management
  • Implement LLM function calling to trigger APIs, databases, and internal tools within agent workflows
  • Define agent personas and manage multi-turn conversations with memory and contextual continuity
  • Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks

What you’ll bring

  • 3+ years of experience in NLP, AI/ML product development, or application scripting
  • Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere)
  • Experience crafting prompts and evaluation methods for enterprise tasks
  • Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen

Technologies

LLM · OpenAI · Claude · Mistral · Cohere · LangChain · Semantic Kernel · AutoGen · Python · API

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 seeking a creative and technically skilled Prompt Engineer to enhance large language model (LLM) performance across business-critical workflows. This position centers on designing, testing, and integrating strategies that drive intelligent agents and enterprise use cases. You will work closely with AI engineers, product teams, and domain experts to guarantee scalable, safe, and high-accuracy AI applications. What you'll Do Prompt Strategy & Design Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management) Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention Maintain libraries for reuse and version control Function Calling & Tool Use Implement LLM function calling to trigger APIs, databases, or internal tools Build tool-use pipelines within
More from the job description

The Opportunity We are seeking a creative and technically skilled Prompt Engineer to enhance large language model (LLM) performance across business-critical workflows. This position centers on designing, testing, and integrating strategies that drive intelligent agents and enterprise use cases. You will work closely with AI engineers, product teams, and domain experts to guarantee scalable, safe, and high-accuracy AI applications. What you'll Do Prompt Strategy & Design Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management) Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention Maintain libraries for reuse and version control Function Calling & Tool Use Implement LLM function calling to trigger APIs, databases, or internal tools Build tool-use pipelines within agent workflows for complex task automation Conversation Flow & Persona Design Define and build agent personas, roles, and behaviors for domain-specific applications Manage multi-turn conversations, memory handling, and contextual continuity Enterprise-grade Optimization Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks Testing & Eva [... source excerpt omitted ...] oyment & Integration Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines Maintain documentation and workflows for deployment in production environments What you need to succeed 3+ years of experience in NLP, AI/ML product development, or application scripting Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere) Experience crafting prompts and evaluation methods for enterprise tasks Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen Strong ML, Python and API integration skills Excellent written communication and structured thinking Preferred Qualifications Experience [... source excerpt omitted ...] Cognitive Science, 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

How jobs are selected

Employer postings · Data from · Sources