Interoperability Architect - Health Care and Life Sciences

We Are:

Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

We work at the intersection of technology, business, and health, helping clients in healthcare and life sciences solve critical problems through data interoperability, AI-driven automation, and intelligent system design.

You Are:

An experienced architect who thrives at the crossroads of healthcare interoperability and emerging AI technologies. You have hands-on experience in designing data solutions, with the curiosity and adaptability to deepen your expertise in AI tools, models, and platforms.

You're excited to help clients navigate change, not just implement technology. You bring technical depth, strategic thinking, and a collaborative spirit, and you’re motivated to build systems that deliver real-world value through interoperability and AI innovation.

What You’ll Do:

  • Lead and support consulting engagements that tackle complex interoperability and AI challenges in healthcare and life sciences.

  • Provide hands-on architectural leadership and act as a bridge between business and technology, helping clients translate 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 AI-powered 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 & industries

  • Stay abreast of data-exchange/interoperability and AI technologies, academic research & hands-on techniques.

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