Senior AI/ML Architect for Health Platform & LLMs

Abbott; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Abbott is seeking a Principal AI/ML Engineer to lead the AI layer turning glucose data into personalized, conversational insights. Define architecture, guardrails, and evaluation standards for agentic and LLM-based features while guiding the AI engineering team.

You will collaborate with data science, clinical, regulatory, product, and mobile engineering to advance scalable, safe AI-powered health insights.

Qualifications

• Ph.D. or Master’s degree in computer science, machine learning or a related field.
• Minimum 10+ years of software or ML engineering experience, including 3+ years building LLM-based or agentic systems in production.
• Strong experience with agent frameworks, tool calling, retrieval-augmented generation, and prompt/model evaluation.
• Proven track record designing guardrails, safety controls, and evaluation pipelines for user-facing AI.
• Proficiency in Python and cloud platforms (Azure, AWS, or GCP).
• Demonstrated technical leadership, setting architecture and standards across teams without direct authority.

Responsibilities

• Define the technical vision and architecture for agentic and LLM-based features across cloud and device.
• Design and build agents that combine glucose history, model predictions, meals, activity, and user context to deliver actionable insights.
• Own agent orchestration, tool use, memory, and retrieval patterns, choosing between hosted and self-managed models based on safety, cost, and latency.
• Stay current on advances in LLMs and agentic systems and translate them into a practical roadmap.
• Establish guardrails so agent responses stay within approved product and regulatory claims, including no unapproved dosing or treatment advice.
• Build evaluation frameworks with clinically grounded test sets, co-owned with data science and clinical teams, covering accuracy, safety, and user impact.
• Ensure every agent response is traceable and auditable in line with design controls and regulatory requirements.
• Partner with regulatory and quality teams on risk analysis, documentation, and evidence for AI-enabled features.
• Use sound judgement and discretion when handling confidential and personal health data.
• Provide technical leadership and mentorship across the AI engineering team and lead architecture and design reviews.
• Productionize time-series and personalization models for glucose insights, from prototype to scalable, monitored services.
• Build batch and real-time inference services with defined latency, cost, and availability targets.

Skills

Python

Cloud platforms

Technical leadership

Communication

Agent frameworks

Education

Ph.D. or Master’s in CS/ML

Tools

Azure

AWS

GCP

LLM frameworks

Retrieval augmented generation

Job description

Abbott is seeking a Principal AI/ML Engineer to lead the AI layer turning glucose data into personalized, conversational insights. Define architecture, guardrails, and evaluation standards for agentic and LLM-based features while guiding the AI engineering team.

You will collaborate with data science, clinical, regulatory, product, and mobile engineering to advance scalable, safe AI-powered health insights.