Head of AI and Data Platform

Abbott Laboratories • Alameda, CA

1d • $172,000 - $344,000 • Onsite

About The Position

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 Lingo's 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.

Requirements

• Bachelor's 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.

Nice To Haves

• 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.

Responsibilities

• Define and own the technical architecture for Lingo's 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.

Benefits

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical 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 bachelor’s 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.
• health and wellness benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior