Head of AI and Data Platform

JOB DESCRIPTION:

Head of AI and Data Platform

Lingo Division Abbott
Location:Alameda CA

Working at Abbott

At Abbott you can do work that matters grow and learn care for yourself and your family be your true self and live a full life. Youll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution.
• Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity working mothers female executives and scientists.

About Lingo

Meet Lingo a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers such as glucose ketones and lactate to help people make better decisions about their health and nutrition. Biowearable technology will digitize decentralize and democratize healthcare enabling consumers to take control of their own health.

THE OPPORTUNITY

At Lingo we are building a groundbreaking health platform that combines continuous biosensor data real-time analytics and personalized insights to help people live fuller longer and healthier lives. Our systems ingest millions of sensor readings daily powering AI-driven experiences for consumers and partners worldwide with the reliability and scalability of cloud-native enterprise-grade platforms.

We are seeking an experienced and hands-on Head of AI and Data Platform to define the technical vision and lead the engineering execution of Lingos AI machine learning and data infrastructure. This is a leadership role for a builder who has personally architected and delivered production AI and data systems at scale brings deep technical instincts across ML engineering data platform design and LLM-based product development and knows how to grow and galvanize engineering teams to ship innovative AI-powered health products in a regulated fast-moving environment.

This is not a strategy-only role. You will be deeply involved in system design architecture decisions and critical technical problem solving as a contributor not just a reviewer while also building and leading a high-performing global team of AI and data engineers.

What Youll Work On

• Define and own the technical architecture for Lingos AI and data platform including biosensor data ingestion pipelines real-time and batch processing infrastructure feature stores model serving layers and data lake design.
• Drive the architecture and engineering execution of AI-powered product features including personalized metabolic health insights predictive analytics from CGM data LLM-based conversational health experiences and on-device ML inference from biosensor data.
• Establish engineering standards for AI system design including model integration patterns RAG pipeline architecture prompt engineering practices evaluation and observability frameworks and responsible AI guardrails appropriate for a regulated health context.
• Lead the engineering execution of ML model development training evaluation and deployment pipelines ensuring models reach production reliably safely and with the observability required to detect drift and degradation.
• Build and own MLOps infrastructure including experiment tracking model registry automated retraining pipelines A/B testing frameworks and model monitoring for production AI systems.
• Partner with Data Science and Product teams to translate model research and product requirements into scalable production-ready AI systems that perform reliably at consumer scale.
• Define standards for LLM integration including prompt management retrieval-augmented generation evaluation harnesses latency and cost optimization and safety guardrails for health-related conversational AI.
• Ensure AI and ML systems maintain ongoing alignment with regulatory requirements including HIPAA GDPR and FDA software guidance in close partnership with Regulatory Affairs Legal and Quality Assurance.
• Define manage and report on engineering OKRs KPIs and delivery metrics for the AI and Data Platform function presenting progress and insights to senior stakeholders.
• Standardize tools development processes and data engineering practices across AI and data squads to improve alignment data quality and delivery consistency.

Required Qualifications:

• Bachelors degree in computer science Engineering Mathematics or a related technical discipline. Advanced degree in Machine Learning Data Science or equivalent preferred.
• 15 years of progressive experience in software and data engineering with a strong foundation as an individual contributor who has personally built production AI and data systems at scale before moving into leadership.
• Proven hands-on experience architecting and building large-scale data platforms including real-time streaming pipelines data lakes feature stores and ML serving infrastructure on cloud platforms (Azure AWS or GCP).
• Deep system design expertise in distributed data systems: you can whiteboard and lead the design of event-driven data architectures data models caching strategies and real-time biosensor data pipelines from first principles.
• Meaningful hands-on experience engineering AI-powered products including integrating LLMs into production systems building RAG or agentic pipelines and deploying ML models within consumer-facing applications.
• Strong understanding of AI and ML system design considerations including model serving infrastructure latency and cost trade-offs evaluation frameworks observability data feedback loops and safety constraints in sensitive health domains.
• Exceptional executive communication skills including the ability to translate AI and data complexity into clear product and business narratives for C-suite and board audiences.

Preferred Qualifications

• Background in digital health consumer health technology or other highly regulated industries such as HIPAA GDPR and FDA oversight.
• Hands-on experience with IoT or biosensor data ingestion pipelines real-time analytics or wearable device platforms.
• Experience applying AI and ML in health or wellness contexts including personalization engines anomaly detection on sensor data or clinically informed recommendation systems.
• Experience with IEC 62304-based software development processes for medical device software.
• Experience in high-growth scale-up or venture-backed environments with exposure to rapid product and organizational scaling.
• Strong experience defining OKRs KPIs and capacity planning for high-throughput consumer-facing AI platforms with high-availability requirements.

Learn more about our health and wellness benefits which provide the security to help you and your family live full lives:

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.

The base pay for this position is

In specific locations the pay range may vary from the range posted.

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