Software Architect

2 weeks ago

Chicago, Illinois, United States Abbott Laboratories Full time
About the Role

We are seeking a highly skilled Software Architect to join our Digital Solutions team at Abbott Laboratories. As a key member of our team, you will be responsible for designing, developing, and deploying external customer-focused AI/data science solutions to extract valuable insights and intelligence from large and complex medical datasets.

Key Responsibilities
  • Define and refine the design and architecture of AI and data science solutions, ensuring they meet business and technical requirements.
  • Demonstrate expert knowledge and proficiency in the complete software development process; lead and be accountable for the software architecture and interfaces for all features of a subsystem.
  • Collaborate with cross-functional teams to define and implement technical solutions, including data scientists, engineers, product managers, and marketing professionals.
  • Develop and maintain scalable, high-performance, secure software architectures for medical data applications.
  • Ensure the seamless integration of AI models and data pipelines into the overall software architecture.
  • Communicate effectively with various medical device divisions to understand their needs and incorporate feedback into the architecture.
  • Stay updated with industry trends and technologies and demonstrate flexibility in adapting and implementing new methodologies.
  • Lead the creation and maintenance of comprehensive technical documentation to support regulatory compliance and operational needs.
  • Oversee the implementation of testing strategies to ensure the reliability and accuracy of software solutions.
  • Define design patterns, software development environment, unit testing environment, integration testing environment, and performance testing environment for all features.
  • Provide overall technical leadership support in use case analysis, feature definition, user needs, and functional and non-functional requirements.
  • Collaborate with external partners, academic institutions, and healthcare providers to enhance the capabilities of the software solutions.
  • Ensure the software architecture supports the continuous improvement and scalability of AI and data science solutions.
  • Help conduct code reviews and provide technical guidance to team members to ensure best practices and high-quality code.
Requirements
  • Master's Degree in Computer Science, Software Engineering, Data Science, or a related field with 8+ years of experience in software architecture and development, focusing on AI and data science solutions.
  • Expert experience in designing and developing complex software systems.
  • Proven expertise in designing, developing, and deploying scalable software architectures.
  • Expert knowledge in programming languages such as Java, C#, C++, Python, SQL and Agile methodology.
  • Experience with cloud computing environments (e.g., AWS, Azure, GCP) and associated cloud services and DevOps.
  • Extensive experience with database management systems (e.g., SQL Server, PostgreSQL, MongoDB) and database design.
  • Strong knowledge of data integration, ETL processes, and data engineering principles.
  • Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Excellent problem-solving and critical-thinking skills.
  • Strong written and verbal communication skills to convey complex concepts to technical and non-technical stakeholders.
  • Expert level of knowledge with continuous integration & continuous development (CI/CD).
  • Strong understanding of data security, secure-by-design principles, and best practices.
  • Evolves the architecture to support future requirements and defines its service level agreements (SLAs).
Preferred Qualifications
  • Previous experience with healthcare technology or medical device software.
  • Experience with Electronic Health Records (EHR) and healthcare data standards.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of data privacy and security regulations, such as HIPAA.
  • Experience with semantic technologies and building domain ontologies.
  • Proficiency in data streaming technologies (e.g., Kafka).
  • Experience with advanced analytical platforms (e.g., Dataiku, Databricks).
  • Knowledge of data governance and compliance policies.
  • Ability to stay updated with industry trends and adapt to new technologies and methodologies.

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