Key Responsibilities:
Customer & Partner Engagement
* Participate in technical discussions with customers, partners, and strategic stakeholders.
* Explain AI capabilities, deployment approaches, and system architecture to technical and non-technical audiences.
* Support implementation projects, technical workshops, and solution design activities.
* Prepare technical materials for business development activities (e.g. demos, proposals, RFP responses).
Cross Functional Collaboration
* Work closely with clinicians, product managers, and commercial teams to understand real-world healthcare challenges.
* Gather internal and external feedback to inform product development priorities.
* Communicate upcoming platform changes and support successful feature adoption.
* Contribute to research publications and thought leadership.
Platform Delivery
* Work closely with engineers to understand the product development and roadmap.
* Work closely with engineers to ensure high standards of software quality, testing, documentation, and maintainability.
* Monitor performance of deployed features and drive continuous product improvement.
Technical Leadership
* Translate business and product goals into clear technical priorities and deliverables.
* Contribute to definition and execution of the AI product and technology roadmap.
* Evaluate emerging AI technologies and assess relevance to platform evolution.
* Mentor engineers and promote best practices in engineering and architecture.
Requirements:
Technical Experience
* Degree (Bachelor’s or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field.
* Strong hands-on experience building and deploying AI / ML / DL / NLP / LLM systems in production environments.
* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).
* Experience with data engineering, APIs, distributed systems, and cloud platforms (Azure / AWS / GCP).
* Experience working with structured and unstructured healthcare data or complex enterprise datasets.
* Familiarity with Linux environments and modern development workflows.
Leadership & Stakeholder Skills
* Experience leading technical projects or mentoring engineers.
* Comfortable engaging directly with customers and senior stakeholders.
* Ability to communicate complex technical concepts clearly and pragmatically.
* Strong product mindset and focus on delivering real user value.
Nice to Have:
* Experience integrating with healthcare systems (e.g. EHR platforms such as Epic or Cerner).
* Experience building commercial software products in regulated environments.
* Publications or research experience in AI / ML / DL / NLP / LLM or biomedical informatics.
* Startup or scale-up experience.