Principal AIML Engineer
Job Location:
Alameda, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Lingo were 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 experiences for consumers and partners worldwide with the reliability and scalability of cloud-native enterprise-grade platforms.
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.
THE OPPORTUNITY
This Principal AI/ML Engineer position can work out of Alameda CA location.
As Principal AI/ML Engineer you will define and build the AI layer that turns glucose data and model outputs into personalized conversational insights for users. You will set the architecture evaluation standards and guardrail policy for all agentic and LLM-based features and act as the technical lead for the AI engineering team.
This is a hands-on principal-level individual contributor role and a founding position on the team with direct influence on its architecture standards and future hires. You will work closely with data science clinical regulatory product and mobile engineering so a high level of technical judgement and professionalism is required.
What Youll Work On
- 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.
Required Qualifications:
- Ph.D. or masters 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.
- Deep experience with agent frameworks tool calling retrieval-augmented generation and prompt and model evaluation.
- Proven track record designing guardrails safety controls and evaluation pipelines for user-facing AI.
- Strong proficiency in Python and cloud platforms (Azure AWS or GCP).
- Demonstrated technical leadership setting architecture and standards across teams without direct authority.
- Ability to operate with little instruction and minimal supervision.
- Excellent written and verbal communication skills able to explain AI risk and trade-offs to clinical regulatory and executive audiences.
Preferred Qualifications
- Experience in a regulated industry ideally medical devices digital health or SaMD.
- Experience with physiological or wearable sensor data such as continuous glucose monitoring.
- Experience with on-device or small language models.
- Publications patents or open-source contributions in applied AI.
- Experience with personalization recommendation or anomaly detection systems.
- Familiarity with HIPAA and data privacy requirements.
- undefined
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.
Connect with us at on Facebook at and on Twitter @AbbottNews and @AbbottGlobal
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The base pay for this position is
$130700.00 $261300.00In specific locations the pay range may vary from the range posted.
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: EEO is the Law link - Espanol: Experience:
Staff IC
About Company
WHO WE ARE CREATING LIFE-CHANGING TECHNOLOGY From removing the regular pain of fingersticks as people manage their diabetes to connecting patients to doctors with real-time information monitoring their hearts, from easing chronic pain and movement disorders to testing half the world’s ... View more
