Lead AI/ML Engineer, Express AI Foundations jobs in United States
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Adobe · 3 weeks ago

Lead AI/ML Engineer, Express AI Foundations

Adobe is a company focused on changing the world through digital experiences. They are seeking a Lead Engineer to build and implement an AI framework for Adobe Express, focusing on creating scalable AI systems that enhance creativity and design capabilities.

Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Lead development and contribute to building the complete AI stack for Adobe Express — covering Agentic AI, Construct AI, Imaging AI, Motion AI, and Personalization AI
Develop and operationalize end-to-end systems — integrating microservices, data pipelines, LLM orchestration layers, in-house and third-party models, databases, caches, session analytics, and evaluation systems into a cohesive architecture
Develop large-scale data and inference infrastructure to support model training, fine-tuning, evaluation, and deployment — employing Spark, Kafka, Flink, and other distributed frameworks
Develop high-performance runtime services for inference and orchestration with strong observability, fault tolerance, and latency guarantees
Apply strong caching and storage tactics to enhance efficiency and cost-effectiveness for various AI workloads
Lead development of experimentation and evaluation systems, encompassing session-level analytics, feedback loops, and quality metrics that drive continuous improvement
Work closely with applied research, product, and platform teams to implement LLMs and other AI models into customer-facing services
Mentor junior engineers and scale the team to drive collectively the charter of Agentic AI for Adobe Express

Qualification

AI infrastructureML platform engineeringData pipelinesReal-time streaming systemsAPI developmentCaching strategiesDatabase developmentPerformance optimizationPythonJavaC++GoLLM orchestrationGenerative AIMLOps pipelinesFeature storesModel registriesCommunication skillsCollaboration skillsMentoring

Required

8+ years of experience in large-scale distributed systems AI infrastructure, or ML platform engineering
Proven expertise in building and scaling data pipelines, real-time streaming systems, and event-driven architectures (Kafka, Spark, Flink, etc.)
Strong background in API development, caching strategies, database development, and performance optimization for large-scale serving systems
Hands-on experience with LLM orchestration frameworks, model routing, and multi-model inference
Proficiency in Python, Java, C++, or Go, with an emphasis on distributed systems, cloud-native deployment, and performance tuning
Familiarity with Agentic AI patterns — reasoning loops, memory persistence, task decomposition, and multi-agent coordination
Strong communication and collaboration skills, with experience influencing cross-functional technical direction

Preferred

Bachelor's or equivalent experience in Computer Science, Data Science, Machine Learning, or a related technical field
Experience building large scale high throughput / low latency applications backed by ML models to build workflows
Exposure to Generative AI (LLMs, diffusion, or multimodal architectures)
Experience with MLOps pipelines, feature stores, and model registries

Benefits

Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award

Company

Adobe is a software company that provides its users with digital marketing and media solutions.

H1B Sponsorship

Adobe has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)

Funding

Current Stage
Public Company
Total Funding
$2.5M
Key Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M

Leadership Team

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Shantanu Narayen
CEO
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Dan Durn
Chief Financial Officer
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Company data provided by crunchbase