Lead the development and execution of cutting‑edge AI‑powered product strategies within the life sciences division, transforming advanced AI technologies into market‑changing solutions that drive revenue growth and operational excellence.
Compensation
The annual base salary range for this position is $139,000 - $174,000.
Responsibilities
Develop and execute comprehensive AI product strategies and roadmaps
Lead development of LLM‑based systems and AI agents
Integrate AI technologies into existing and new product workflows
Stay at the forefront of emerging AI technologies
Lead multiple cross‑functional teams (engineering, data science, QE, Architecture) to deliver AI products
Requirements
Bachelor’s degree in Computer Science, Engineering, or related technical field
MBA or equivalent business education preferred
Nice to have: MBA or equivalent business education
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep the data ecosystem healthy for Apple’s AI and ML features.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines
Own the health of training and validation datasets
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines to ensure data integrity for machine learning models across Wallet, Payments, and Commerce.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models, and monitoring pipelines.
Own the health of the data ecosystem that underpins ML and GenAI features.
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across multiple teams and product domains. This is a senior individual-contributor leadership role: you influence high-impact architectural decisions, evolve the practices and standards for building agentic AI, and turn experimental AI capabilities into reliable production systems.
Locations (2)
Boca Raton, Florida, United States
Hyderabad, Telangana, India
Responsibilities
Define and drive technical direction for AI and agentic systems, and contribute to the AI platform roadmap across teams
Influence architecture decisions for compute, cloud, and AI infrastructure across teams
Lead the design of large-scale AI/LLM systems: inference platforms, APIs, and distributed architectures
Architect production multi-agent systems end-to-end: orchestration, state management, tool integration, and failure handling
Define and drive best practices and standards for AI/LLM systems across teams (agent design, evaluation, observability, reliability)
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