Lead the design and implementation of the AI-Assist platform, ensuring it is scalable, secure, and optimized for AI-driven applications.
Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture.
Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems.
Implement data modeling and database design to support complex healthcare data structures and relationships.
Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.
Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.
Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.
Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.
BS or MS degree in Computer Science or a related field is required, with a strong academic background.
6+ years of relevant software development experience, with a focus on backend and data-centric applications.
Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.
Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.
Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.
In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls.
Proficiency in Oracle Database and search technologies such as Opensearch, Pinecone, and Oracle Golden Gate Replication.
Understanding of system design and distributed systems architecture best practices.
Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).
Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.
Demonstrated technical leadership and a passion for mentoring junior team members.
If you possess the required qualifications and are excited to contribute to the future of healthcare technology, we encourage you to apply. Please submit your updated resume Let’s discuss how you can help us transform the healthcare industry through the power of AI and innovative data platform engineering!
