Principal AI/ML Engineer, LLM & Health Platform

Abbott (abbottcareers2 board); United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health coverage through HIP PPO plan

Excellent retirement contribution

Tuition reimbursement & FreeU program

Education benefits

Job summary

Abbott is building a groundbreaking health platform that turns glucose data into personalized insights. We seek a Principal AI/ML Engineer to define the AI layer, set architecture and guardrails, and lead the AI engineering team.

You will work across data science, clinical, regulatory, product, and mobile engineering with visibility to executives. This principal-level role is hands-on with high autonomy, enabling architectural decisions, policy creation, and mentorship for a growing team.

Qualifications

• Ph.D. or master's degree in computer science, Machine Learning or a related field.
• Minimum of 10+ years of software or ML engineering experience, including 3+ years building LLM-based or agentic systems in production.
• Strong proficiency in Python and cloud platforms (Azure, AWS, or GCP).

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

Independent work

Written & verbal communication

Education

Ph.D. or master's in CS/ML

Tools

LLM frameworks

Agent frameworks

Tool calling

Retrieval-augmented generation

Job description

Abbott is building a groundbreaking health platform that turns glucose data into personalized insights. We seek a Principal AI/ML Engineer to define the AI layer, set architecture and guardrails, and lead the AI engineering team.

You will work across data science, clinical, regulatory, product, and mobile engineering with visibility to executives. This principal-level role is hands-on with high autonomy, enabling architectural decisions, policy creation, and mentorship for a growing team.