Job Title

Interoperability Architect Health Care and Life Sciences Join to apply for the Interoperability Architect Health Care and Life Sciences role at Accenture and get AIpowered advice on this job and more exclusive features. About Accenture Applied Intelligence Applied Intelligence is the worlds largest team of data scientists, data engineers, and experts in machine learning and AI. We solve big problems with the latest technology, driving digital transformation across industries. We help clients in healthcare and life sciences through data interoperability, AIdriven automation, and intelligent system design. You Are An experienced architect who thrives at the intersection of healthcare interoperability and emerging AI technologies. You have handson experience designing data solutions and the curiosity to deepen your expertise in AI tools, models, and platforms. What Youll Do Lead and support consulting engagements that tackle complex interoperability and AI challenges in healthcare and life sciences. Provide handson architectural leadership and act as a bridge between business and technology, translating goals into solution architectures and roadmaps. Architect and prototype data exchange and interoperability solutions with an emphasis on scalability in cloud environments (e.g., Azure, AWS, GCP). Collaborate on the design and implementation of AIpowered solutions using emerging tools and platforms (e.g., LLMs, automated coding assistants, AI APIs). Lead small teams to develop innovative solutions for clients across functions and industries. Stay abreast of dataexchange/interoperability and AI technologies, academic research, and handson techniques. What Were Looking For Minimum 5 years implementing data exchange/interoperability solutions in healthcare or life sciences, ideally in cloud environments (Azure, AWS, GCP). Minimum 5 years in solution or enterprise architecture roles, capable of designing conceptual, logical, and physical architectures. Minimum 12 years designing or integrating AI/ML tools or capabilities into technical solutionse.g., architecting systems that incorporate AI services or models for clinical NLP, image analysis, or predictive analytics. Designing endtoend data pipelines that support AI/ML use cases in healthcare or life sciences. Selecting appropriate AI platforms, services, or tools (Azure AI, AWS SageMaker, Vertex AI) as part of broader solution architecture. Collaborating with data scientists, ML engineers, or research teams to ensure AI solutions are scalable, compliant, and interoperable. Experience with clinical data models and data exchange standards/frameworks (HL7 FHIR, v2, CDA, IHE, etc.). Clientfacing consulting or solution design experience, translating business requirements into technical architecture. Familiarity with AI solution architecture principlesintegrating AI models into data pipelines, using vector databases, or managing model lifecycle. Understanding of responsible AI concepts (fairness, explainability, bias mitigation) in healthcare or life sciences. Minimum undergraduate degree in an applicable field (e.g., Computer Science, Health Informatics). Nice to Have Expertise in Hadoop, MapReduce, Spark, Pig, Hive, data ingestion in data lakes, data storage on key cloud providers (AWS, Azure, GCP), Redshift, and big data platforms. Experience in data modeling, big data platforms (Cloudera, Hortonworks, Talend), data migration and quality (ETL such as Informatica), MySQL/NoSQL, CQRS, event sourcing. Seniority Level MidSenior level Employment Type Fulltime Job Function Design, Art/Creative, and Information Technology Location Toronto, Ontario, Canada Salary CA$90,000 CA$110,000 Referrals Referrals increase your chances of interviewing at Accenture by 2x. #J-18808-Ljbffr