ABOUT ABBOTT

Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree with 10+ years of experience or Master’s Degree with 7+ years of related software architecture experience (not all AI related) across mobile and cloud platforms.
• 4–8 years of hands-on experience developing and implementing AI/LLM architecture and solutions. (Flexibility on years given AI’s rapid evolution.)
• Strong Python development skills— building new APIs, integrating LLMs, and engineering GenAI applications.
• Deep experience working with cloud-based LLMs (e.g., OpenAI, AWS Bedrock, Anthropic, Mistral models).
• Testing and Debugging— proficiency in AI app testing techniques, including unit testing, integration testing, and UI testing across various mobile devices and operating system platforms.
• Strong communication and documentation skills— producing diagrams, demos, and technical artifacts that make AI strategies understandable and actionable.
• Proven ability to design for cost efficiency and scalability.
• Strategic thinker who balances technical innovation with business needs.

PREFERRED QUALIFICATIONS

• Experience developing GenAI agents and LLM meshes.
• Background in large enterprise architecture or scaling AI solutions across multiple business units.
• Experience working in or around regulated industries (healthcare, life sciences, finance) is a plus.
  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 www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal

• Build and Integrate AI Solutions using LLM APIs (OpenAI, AWS Bedrock, Anthropic, Mistral) — not just plan, but hands-on develop.
• Shape LLM behavior through prompt engineering, guardrail development, and fine-tuning pipelines.
• Design and build scalable APIs (e.g., FastAPI, Flask) to enable AI-driven features across products.
• Lead performance tuning and ensure system scalability across mobile and cloud platforms.
• Implement GenAI Safety Best Practices, focusing on hallucination mitigation and secure model usage.
• Estimate and optimize costs for large-scale cloud LLM operations (10–20M/year scale).
• Consult and Communicate AI strategies to legal, compliance, quality, and executive teams — tailoring technical concepts to diverse audiences.
• Own and Drive Tactical Execution of AI initiatives across multiple products, not just providing oversight.