WHAT YOU’LL DO:
- Design and implement robust software architectures across distributed environments.
- Lead the design and integration of GenAI components, including intelligent agents and Retrieval-Augmented Generation (RAG) pipelines.
- Collaborate with cross-functional teams to align architecture with operational and product goals.
- Apply architectural patterns such as microservices, event-driven design, and cloud-native principles.
- Create technical reference architectures, design patterns, and reusable components to guide development teams.
- Lead architecture reviews, code walkthroughs, and design sessions to promote quality and maintainability.
- Provide mentorship and guidance to engineering teams on architectural best practices and intelligent system design.
- Evaluate emerging technologies and recommend tools and frameworks that enhance system performance and reliability.
- Ensure integration and interoperability across distributed environments.
- Contribute to internal documentation and foster a culture of technical excellence.
WHAT YOU’LL NEED:
- 7+ years of software development experience, including 3+ years in an architectural or technical leadership role.
- Bachelor’s or advanced degree in Computer Science, Software Engineering, or related technical field.
- Proven experience designing and implementing AI-driven systems, especially with generative AI, LLMs, and NLP.
- Experience building AI systems with human-in-the-loop.
- Strong architectural skills across modern tech stacks such as cloud platforms, APIs, microservices, and integration patterns.
- Proficiency in modern programming languages such as Python, Java, or C#.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Excellent communication skills, including the ability to explain complex concepts to technical and non-technical audiences.
- Ability to balance immediate delivery priorities with scalable system design.
- Effective communicator who can translate technical concepts to cross-functional teams.
- Ability to work within established business capability maps and operational frameworks.
PREFERRED EXPERIENCE:
- Familiarity with general data governance and compliance frameworks.
- Exposure to healthcare interoperability standards (e.g., HL7, FHIR).
- Comfortable collaborating with domain experts in specialized areas such as Life Sciences and Clinical AI.
- Life Sciences domain knowledge including clinical trials, literature review and patient cohort studies.
- Experience with containerization tools such as Docker and Kubernetes.
Top Skills
What We Do
We are a team of dedicated clinical terminologists, data scientists, industry subject matter experts, and informaticists who helped facilitate the evolution from analogue to digital capture of clinical events, the precise code-mapping that simplifies complex workflows, and the translation of unstructured into structured data. We “wrote the digital dictionary” used in every major EHR, and we are leveraging clinical AI to generate insights that expand and deepen our impact across the healthcare ecosystem.
At the end of the day, we don’t make decisions for our clients. We provide them with the digital tools to enable sound decision-making.
Why Work With Us
We are building a clinical intelligence stack—medical ontology, human expertise, and AI—that makes data more useful and more powerful. By enhancing data’s structure, richness, and precision, we reduce noise and error, streamline complexity, and create clarity across the clinical information chain.
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