The Opportunity

We are seeking a highly experienced and innovative Principal Engineer to join the GenStudio Engineering team. This role is ideal for a technical leader who thrives in a fast-paced environment and is passionate about building scalable, high-impact software solutions. You will drive architectural decisions, mentor engineers, and influence the technical direction of GenStudio.

What You’ll Do

• Shape the technical vision and roadmap for GenAI initiatives that extract structured insights from brand knowledge and transform them into verified, on-brand content at scale.

• Leverage foundational principles of NLP, Linguistics, and Computer Vision to architect multimodal systems that push the frontier of grounded content generation across text, image, and video.

• Drive innovation in dense, sparse, and hybrid representation, including embedding models, contrastive learning, metric learning, learning-to-rank, and reinforcement learning to advance retrieval and recommendation at scale.

• Architect end-to-end AI systems utilizing LLMs, VLMs, multi-agent frameworks, and enterprise search designed for both offline training and online production workflows.

• Implement and adapt techniques from academic research; evaluate algorithmic trade-offs considering data requirements, latency, and runtime.

• Design industry-leading evaluation systems by combining LLM-as-judge, ensemble evaluation, offline benchmarks, A/B testing, and human-in-the-loop workflows that set the standard for how AI outputs are validated at enterprise scale.

• Analyze trade-offs across cost, latency, and accuracy while ensuring compliance with UX, privacy, legal, and security constraints.

• Work cross-functionally with data, research, and product teams to translate models into production-ready services.,representations

What You’ll Need to Succeed

• 14+ years of experience in AI/ML with a strong track record of technical leadership across multiple divisions or product areas, including shaping technical vision and roadmaps for ML organizations.

• Bachelor's, Master's, or Ph.D. in Computer Science or a related field (or equivalent experience).

• Deep expertise across NLP, Computer Vision, Deep Learning, and Generative AI.

• Expert-level experience with LLM fine-tuning techniques (LoRA, QLoRA), prompt engineering, RAG/GraphRAG, vector databases, multi-agent orchestration, and agentic workflows.

• Strong proficiency with modern ML frameworks (PyTorch, TensorFlow/Keras, JAX, Hugging Face, CUDA) and Python.

• Extensive experience with ML platform engineering (MLOps/LLMOps) including distributed training, model serving, feature stores, experiment platforms, and observability systems across cloud platforms (AWS, GCP, Azure).

• Solid grasp of data engineering including dataset management, feature engineering, labeling pipelines, data drift, and quality frameworks at scale.

• Proven ability to mentor senior engineers and elevate technical standards across teams.

Preferred Attributes

• Recognized thought leader within and beyond the organization through publications at top-tier AI/ML conferences, open-source contributions, or participation in industry forums.

• Demonstrated ability to drive innovation and champion emerging technologies across engineering organizations.

• Experience building and shipping GenAI-first applications at enterprise scale.

• First-principles mindset for challenging assumptions about how AI systems should be designed, evaluated, and deployed.

Expected Pay Range:

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.