[Remote] Senior AI Engineer

Note: The job is a remote job and is open to candidates in USA. Abbott is a global healthcare leader that helps people live more fully at all stages of life. They are seeking a Senior AI Engineer to work on a Go-based medical device web application and a modern Software as a Service (SaaS) cloud platform aimed at enhancing user health. The role involves improving existing platforms, designing and implementing cloud-based services, and integrating AI capabilities into health-focused products.ResponsibilitiesEnhance and maintain our Go-based healthcare platforms, focusing on reliability, performance, security, scalability, and user experienceDesign, build, test, and deploy cloud-native SaaS services, APIs, and data workflows using Go and modern engineering practicesDevelop high-volume, low-latency distributed systems supporting a global healthcare platformDesign and integrate AI capabilities, including model integrations, inference services, and evaluation workflows to drive advanced features and health insightsCollaborate with internal and external partners to build secure APIs that enable compliant sharing and use of medical dataPartner cross-functionally with product, quality, regulatory, security, DevOps, and engineering teams to deliver safe, scalable, and compliant medical device softwareWork with InfoSec to design and implement secure, standards-aligned solutionsWrite clean, testable, and maintainable code with strong test coverageEnsure performance, availability, and scalability through high-quality engineering and design practicesContribute to architecture and technical strategy, translating architectural goals into clear service boundaries, reusable patterns, and maintainable implementationsDrive system improvements to align platforms with evolving architectural standardsBuild internal tools, automation, dashboards, and developer utilities to improve engineering productivity, operational visibility, and release confidenceDocument system design using diagrams, flowcharts, and technical specificationsParticipate actively in agile development, contributing to planning, development, testing, and deliveryLead technical discussions, design reviews, and code reviews to uphold engineering excellenceStay current with AI, cloud, healthcare, and software engineering trends, applying relevant innovationsDemonstrate ownership, strong technical judgment, collaboration, and a commitment to continuous learningSkillsBachelor's degree in Computer Science, Engineering, Mathematics, or a related field8+ years of relevant experience, or a Master's degree with 6+ years of experienceHands-on experience with applied AI/ML concepts, including model integration, inference workflows, evaluation, feature engineering, prompt/model orchestration, or intelligent automationStrong backend engineering experience in Go, including APIs, concurrency, testing, and maintainable system designExperience designing and contributing to scalable, highly available, and observable system architecturesExperience building and maintaining distributed systems, including asynchronous processing, messaging, and backend data workflowsStrong experience developing and integrating RESTful APIs and microservicesFamiliarity with database technologies (e.g., SQL Server, PostgreSQL, or similar relational/NoSQL systems)Experience with cloud platforms and modern development practices, including CI/CD, containers, infrastructure automation, observability, and version controlSolid computer science fundamentals and problem-solving skillsExperience working in agile development environmentsPractical working knowledge of Linux systemsStrong communication skills (written and verbal) and ability to collaborate across teamsDemonstrated ownership, curiosity, and willingness to contribute beyond defined responsibilitiesExperience with medical device software, digital health, wellness platforms, clinical applications, or regulated software developmentFamiliarity with quality system practices, validation support, requirements traceability, risk-aware development, audit trails, and design documentationExperience with Kubernetes, Docker, Terraform, message queues, event-driven architectures, service observability, or platform engineering practicesExposure to MLOps, model versioning, monitoring, evaluation frameworks, retrieval-augmented generation, vector databases, or responsible AI practicesUnderstanding of secure software development, privacy, access control, auditability, encryption, and responsible handling of health-related or sensitive user dataAbility to mentor teammates through code reviews, documentation, knowledge sharing, and constructive technical feedbackBenefitsCareer development with an international company where you can grow the career you dream of.Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar yearAn excellent retirement savings plan with high employer contributionTuition reimbursement, the [Freedom 2 Save](https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program and [FreeU](https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) education benefit - an affordable and convenient path to getting a bachelor’s degree.Company OverviewAbbott is a healthcare company that produces diagnostic kits, medical devices, nutritional products, and branded generic medicines. It was founded in 1888, and is headquartered in Illinois City, Illinois, USA, with a workforce of 10001+ employees. Its website is https://www.abbott.com.Company H1B SponsorshipAbbott has a track record of offering H1B sponsorships, with 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.