Principal Scientist - Firefly Enterprise

Audio/Video Solutions: The media-processing backbone for enterprise-scale content production: ingesting, transforming, generating, and delivering audio and video reliably at production volume. You'll partner closely with engineering managers on people leadership, and you'll be instrumental in interviewing and holding the hiring bar high. Set the long-term technical architecture and vision across both charter areas. Make enterprise-scale reliability and resiliency a first-class property of everything the team ships. Bring AI capabilities into the product and into how the team builds, raising both customer value and engineering velocity. Grow a scaling team of software and machine-learning engineers through hands-on work and mentorship, i.e., lifting the technical bar by example. Turn customer and field insight into a credible, deliverable roadmap in partnership with adjacent teams. Own the architecture for enterprise-scale audio/video media-processing pipelines by designing for throughput, latency, cost, and operational resilience at production volume. Stay hands-on by writing code, leading design and architecture reviews, and setting the engineering standards the team builds to. Mentor developers and specialists in machine learning alike, growing their technical judgment through the work. Play an instrumental role in hiring: interview, calibrate, and keep the bar high. Interface directly with customers and field/sales teams to identify real problems and collaborate across adjacent teams to shape the roadmap and deliver solutions. Manage collaborators and expectations across engineering, product, and the field; with clarity and follow-through. Leverage AI capabilities to improve both what customers get and how the team develops software. 15+ years building large-scale distributed software systems. Proven experience operating at enterprise scale with a deep focus on reliability and resiliency. Strong backend engineering in Java, Python, or comparable technologies, with a solid command of distributed systems and cloud-native platforms. Experience with at least one of the team's two domains, and the ability to ramp on the other. Media processing: audio/video pipelines, transcoding, streaming, or large-scale media workflows. Extensibility: SDKs, plug-in architectures, integration frameworks, or agentic systems. A track record of mentoring both software engineers and machine-learning engineers and raising the technical bar across a team. Comfort working directly with customers and field/sales teams to translate problems into solutions. Strong collaborator management with the ability to set expectations and align across engineering, product, and the field. Excellent communication and the ability to make complex architecture legible to engineers, product leaders, and executives. Experience employing AI capabilities for both customer-facing value and internal product development. Familiarity with LLM application architectures, RAG, AI orchestration frameworks, MCP, or agentic systems. Experience building integrations or plug-ins for Figma, Adobe Creative Cloud, Adobe Express, or comparable creative ecosystems. Depth in enterprise-scale media processing, namely, codecs, streaming infrastructure, or GPU-accelerated media pipelines. Familiarity with enterprise identity, security, governance, and compliance frameworks. 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.