Conversation AI Engineer

You will build the conversational intelligence layer of our advisor efficiency platform. Agentic Conversation Design: Architect and build the conversational layer of our prompt-based agentic platform — including intent detection, dialogue orchestration, and multi-step reasoning flows aligned to advisor workflows. LLM Integration & Prompt Engineering: Design and maintain the prompt architecture that drives advisor-assist features — including context injection, tool-calling patterns, guardrails, and output validation. Advisor Assist Systems: Build real-time AI tools that surface relevant knowledge, suggest responses, and guide advisors through commerce, subscription, and support interactions. Process Mapping: Work with operations and product teams to deeply understand advisor business processes, then translate that understanding into conversation system design. Evaluation & Quality: Define conversation quality metrics, build evaluation datasets from real interaction logs, and operate a continuous improvement loop for deployed systems. Probabilistic Fallback Design: Design graceful degradation patterns — ensuring the system handles low-confidence states, ambiguous intents, and out-of-scope inputs without advisor disruption. Cross-platform Delivery: Integrate conversational AI features throughout chat, phone, and ecommerce advisor surfaces — maintaining coherent behavior across channels. Process-aligned composition: you build conversation flows that mirror advisor operational workflows — not abstract dialogue trees disconnected from how work actually happens. Data-driven iteration: you measure conversation quality with data, not intuition — defining metrics, curating evaluation sets, and iterating based on evidence. 3–5 years in conversational AI, NLP engineering, or LLM-based product development. Experience building dialogue systems with real business process alignment, not just scripted flows. Proficiency in Python and NLP tooling. Strong understanding of intent classification, entity extraction, and context management in stateful conversations. Experience deploying conversational AI to production with real user traffic. Ability to build for uncertainty — confidence scoring, fallback handling, human-in-the-loop blocking issue. Experience building agentic systems with tool use, function calling, or multi-step LLM orchestration. Familiarity with RAG for knowledge-grounded responses. Key Responsibilities. Required Qualifications. 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.