Design and implement robust software architectures for AI systems at IMO Health, collaborating across teams and providing mentorship.
As a Software Architect at IMO Health, you will be responsible for designing robust, scalable, and maintainable software systems that power our next-generation platforms. You will collaborate across product, engineering, and enterprise architecture to define architecture strategies that support innovation, interoperability, and business value.
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
AWS
Azure
C#
Docker
GCP
Java
Kubernetes
Python
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