Senior AI & Data Engineering Leader

Adobe; San Jose (CA); On-site; USD 281,000 - 437,000; Full time

Job summary

Adobe seeks a Senior Director of AI, Data Science & Engineering to lead AI, data science, and data engineering for Consumer Trust. You will own end-to-end AI capabilities from experimentation to production and drive agentic AI, graph intelligence, and real-time decisioning at scale.

You will partner with Platform Risk and engineering teams on identity graphs, fingerprinting, telemetry, and risk platforms, aligning AI with business outcomes and responsible AI standards.

Qualifications

• Significant experience building and deploying AI and ML systems in production at scale.
• Strong technical background in modern AI/ML, including generative AI, LLMs, agentic systems, model evaluation, and traditional ML.
• Demonstrated experience leading multidisciplinary organizations across AI/ML, data science, and data engineering.
• Strong production engineering and systems architecture experience, with the ability to take AI capabilities from prototype through production.
• Experience with large-scale data platforms, telemetry, real-time systems, feature pipelines, and ML infrastructure.
• Strong understanding of distributed systems and the engineering requirements for high-volume, low-latency decisioning.
• Ability to engage with principal engineers, AI/ML engineers, data scientists, data engineers, and architects on strategy and design.
• Strong executive communication skills and the ability to influence across engineering, product, operations, policy, and senior leadership.
• Experience in fraud prevention, cybersecurity, identity, platform abuse, Trust & Safety, payments risk, bot detection, or other adversarial environments.
• Experience with identity resolution, identity graphs, graph ML, browser or device intelligence, behavioral signals, reputation systems, or real-time risk platforms is strongly preferred.
• Experience deploying generative AI or agentic systems into high-impact production environments is highly desirable.

Responsibilities

• Lead AI Engineering, Data Science/Machine Learning, and Data Engineering across Consumer Trust.
• Define and execute the AI and ML technical strategy for fraud, abuse, Trust & Safety, and consumer protection.
• Own end-to-end development of AI and ML capabilities from experimentation and modeling through engineering, deployment, monitoring, and production operation.
• Drive development of agentic AI, graph intelligence, anomaly detection, behavioral models, and real-time decisioning capabilities.
• Build the data, feature, evaluation, and ML infrastructure required to operate AI systems at scale.
• Partner with Platform Risk and engineering teams on identity graph, browser and device fingerprinting, bot detection, telemetry, and shared risk platforms.
• Bring together platform signals, identity intelligence, AI, ML, and data into cohesive detection and decisioning systems.
• Establish strong engineering standards for AI systems, including evaluation, reliability, observability, scalability, and responsible AI.
• Recruit, develop, and lead strong AI, ML, data science, data engineering, and technical leadership talent.
• Translate technical investments into measurable improvements in fraud prevention, consumer protection, operational efficiency, and business outcomes.

Skills

AI Engineering

Data Science

Data Engineering

ML

Agentic AI

Graph intelligence

Anomaly detection

Real-time decisioning

Leadership

Executive communication

Tools

Telemetry

ML infrastructure

Distributed systems

Identity graph

Real-time data pipelines

Job description

Adobe seeks a Senior Director of AI, Data Science & Engineering to lead AI, data science, and data engineering for Consumer Trust. You will own end-to-end AI capabilities from experimentation to production and drive agentic AI, graph intelligence, and real-time decisioning at scale.

You will partner with Platform Risk and engineering teams on identity graphs, fingerprinting, telemetry, and risk platforms, aligning AI with business outcomes and responsible AI standards.