- 5+ years of experience in healthcare AI, with a strong understanding of workflows, medical terminologies, and healthcare interoperability standards
- Proven ability to design AI systems that support decision-making, predictive analytics, health management, etc
- Technical Proficiency:
- 13+ years in software engineering, data science, or AI, with 5+ years in AI/ML architecture roles.
- Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision applied to healthcare.
- Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with cloud platforms (AWS, Azure) and MLOps tools (MLflow, SageMaker).
- Solid understanding of data engineering pipelines, ETL processes, and real-time data streaming
- Architectural & Strategic Experience:
- Demonstrated success in designing scalable, secure, and high-availability AI architectures in healthcare settings.
- Experience with model lifecycle management, including monitoring, retraining,



and drift detection in clinical environments.
- Ability to assess and mitigate bias, fairness, and explainability issues in AI models.
- Familiarity with enterprise architecture frameworks and AI governance models.
- Preferred Behavioral Skills
- Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
- Strong teamwork, problem-solving, and analytical skills
- Strong understanding of Pharma Quality Standards and Practices
- Proven leadership in cross-functional teams, including business teams, data scientists, and IT professionals.
- Strong communication skills to convey complex AI concepts to non-technical stakeholders, including healthcare executives and regulatory bodies.
- Experience in strategic planning, vendor evaluation, and AI capability building within healthcare organizations

📌 AI Architect (Bengaluru)
🏢 Recruise India Consulting
📍 Bengaluru