Senior AI Engineer - Real-Time Fraud Detection

Adobe Inc.; San Jose (CA); Hybrid; USD 183,000 - 265,000; Full time

Job summary

Adobe Inc. seeks a Senior AI/ML Engineer to develop fraud and abuse detection systems across signals, modeling, and production deployment.

You will own end-to-end solutions from data signals to real-time decisioning and enforcement, applying advanced ML techniques and LLMs to strengthen detection. In this hands-on role, you will collaborate with risk, product, and engineering teams, iterate on models, monitor drift, and optimize latency and cost while delivering production-ready capabilities

Qualifications

• 8+ years building and operating production ML systems, ideally in fraud, abuse, risk, identity, trust & safety.
• Solid ML background with practical experience in Python, SQL, and current ML frameworks like PyTorch.
• Experience guiding ML systems from feature engineering to production deployment and monitoring.
• Strong software/data engineering skills across ML, backend, and data infrastructure.
• Experience building with LLMs and/or AI agents, particularly for AI/generation-abuse use cases.
• Strong technical judgment, ownership, and ability to solve ambiguous, adversarial problems.
• Bachelor's or equivalent experience in Computer Science, Statistics, Mathematics, or related field; advanced degree a plus.

Responsibilities

• Build and deploy high-precision ML models for fraud and abuse detection, anomaly detection, and risk scoring.
• Engineer risk signals from large-scale account, device, network, behavioral, velocity, and session data.
• Integrate ML/AI features into real-time risk decisioning and automated enforcement systems.
• Apply LLMs and AI agents to expand detection, investigation, and classification capabilities.
• Translate emerging attack patterns and relevant research into new models, signals, and mitigations.
• Evaluate solutions across accuracy, latency, cost, and customer impact.
• Own model evaluation, monitoring, and drift as attacker behavior evolves.
• Partner across engineering, product, and risk teams to ship production-ready capabilities.

Skills

Python

SQL

PyTorch

ML systems

LLMs / AI agents

Production deployment

Fraud/risk domain

Software engineering

Model monitoring

Education

Bachelor's degree in CS/Stats/Math

Advanced degree a plus

Job description

Adobe Inc. seeks a Senior AI/ML Engineer to develop fraud and abuse detection systems across signals, modeling, and production deployment.

You will own end-to-end solutions from data signals to real-time decisioning and enforcement, applying advanced ML techniques and LLMs to strengthen detection. In this hands-on role, you will collaborate with risk, product, and engineering teams, iterate on models, monitor drift, and optimize latency and cost while delivering production-ready capabilities