6 days ago
Base Salary
$131k - $261k/yr
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, retrieval patterns, and hosted versus self-managed model decisions.
- Establish guardrails, safety controls, evaluation standards, and approved-claims boundaries for user-facing AI features.
- Build clinically grounded evaluation frameworks covering accuracy, safety, and user impact.
- Ensure agent responses are 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.
- Productionize time-series and personalization models from prototype to scalable, monitored services.
- Build batch and real-time inference services with latency, cost, and availability targets.
- Provide technical leadership, mentorship, architecture reviews, and design reviews across the AI engineering team.
- Handle confidential and personal health data with sound judgment and discretion.
Requirements
- Ph.D. or master's degree in computer science, machine learning, or a related field.
- At least 10 years of software or ML engineering experience, including at least 3 years building LLM-based or agentic systems in production.
- Deep experience with agent frameworks, tool calling, retrieval-augmented generation, and prompt and model evaluation.
- Track record designing guardrails, safety controls, and evaluation pipelines for user-facing AI.
- Strong proficiency in Python and Azure, AWS, or GCP cloud platforms.
- Demonstrated technical leadership setting architecture and standards across teams without direct authority.
- Ability to work with little instruction and minimal supervision.
- Excellent written and verbal communication skills for explaining AI risks and trade-offs to clinical, regulatory, and executive audiences.
- Preferred experience includes regulated industries such as medical devices, digital health, or SaMD; physiological or wearable sensor data; on-device or small language models; personalization, recommendation, or anomaly detection systems; HIPAA and data privacy requirements; and publications, patents, or open-source applied-AI contributions.
Benefits
- Career development opportunities with an international company.
- Potential eligibility for free medical coverage through the Health Investment Plan PPO in the next calendar year.
- Retirement savings plan with a high employer contribution.
- Tuition reimbursement, the Freedom 2 Save student debt program, and the FreeU education benefit.
- Work location is Alameda, California, with a standard work shift.
- The role involves prolonged sitting and keyboard use for at least 50% of the workday.
Tech Stack
Categories
About Abbott
Abbott is a NYSE‑listed healthcare company that develops diagnostics, medical devices, nutrition products, and branded generic medicines for clinicians and consumers. Founded in 1888 and headquartered in Abbott Park, Illinois, it sells products in more than 160 countries, including the FreeStyle Libre continuous glucose monitoring system. Revenue comes primarily from product sales to hospitals, clinics, and retail channels.