Senior Prompt Engineer (AI/ML), Brand Concierge

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 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 & Evaluation 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 Deployment & 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 Python and API integration skills Excellent written communication and structured thinking Preferred Qualifications Experience with LLM function calling, custom tool integration, and agent workflows Background in UX writing, human-computer interaction, or instructional design Understanding of enterprise compliance (e.g., SOC 2, GDPR) in AI systems Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, 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-sal ... (truncated, view full listing at source)