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Adobe · 1 day ago

Principal AI Architect

Austin, TX

Full-time

Onsite

Lead/Staff

$206K/yr - $379K/yr

Adobe is a leading software company focused on empowering individuals to create exceptional digital experiences. They are seeking a Principal AI Architect to define and implement architectural visions for AI systems, working hands-on with production AI technologies and leading engineering teams to build scalable AI services.

Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Design, implement, and maintain production-ready AI/ML and GenAI services, not just prototypes

Write high-quality, testable, and maintainable code for core platform components, AI services, and shared libraries

Contribute directly to critically important code paths, setting standards for performance, reliability, and security

Serve as a hands-on technical leader, demonstrating standard methodologies through real implementations

Perform deep code reviews that improve system quality and mentor engineers through example

Partner with teams to deliver high business value features, addressing scalability, observability, fault tolerance, and operability

Participate in design-for-operations practices including monitoring, alerting, incident response, and postmortems

Continuously improve production systems based on real-world performance, cost, and reliability data

Balance architectural purity with pragmatic trade-offs required to deliver at scale

Architect and implement end-to-end AI/ML pipelines from data ingestion through deployment and monitoring

Build and ship LLM-powered assistants, RAG pipelines, and agentic services used by real customers at scale

Maintain a sustained 30–50% hands-on coding commitment alongside architectural and strategic responsibilities

Proven track record of writing production-quality code for large-scale systems, not just prototypes or research implementations

Strong coding skills in JavaScript, React, GraphQL, and at least one backend language such as Java, Kotlin, or Python

Experience owning systems end-to-end, including design, implementation, deployment, and long-term maintenance

Significant project experience with NLP and LLM-based systems

A deep understanding of fundamental ML concepts (tensors, loss functions) and key neural network architectures

Knowledge in Transformers (including attention mechanisms), CLIP, T5, and Diffusion Models

Proven ability to apply and adapt models for specific business problems, including fine-tuning techniques like LoRA and Dreambooth

Experience designing systems where you were also responsible for shipping and operating the code in production

Comfortable being on the critical path for delivery while maintaining architectural integrity

Qualification

AI/ML systems designGenerative AI expertiseProduction-quality codingEnd-to-end pipeline architectureJavaScriptReactGraphQLJava/Kotlin/PythonMentoring engineersIncident responsePostmortem analysisScalability considerationsArchitectural integrity

Required