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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and implementation of AI and generative AI solutions for Safety, Regulatory, and Clinical functions.
Ensure product technical architecture and software engineering align with technology roadmap and standards.
Collaborate with cross-functional teams to integrate cloud computing and automation, and provide technical mentorship to junior engineers.
Minimum Requirements
Bachelor's degree or higher in Computer Science or related field (Engineering, Math, Physics, IT).
2-4 years of experience in engineering roles focused on AI, generative AI, cloud computing, and automation.
2-4 years of software development and software engineering experience.
Mandatory skills include machine learning algorithms, AI frameworks, cloud platforms (AWS, Azure, Google Cloud), programming languages (Python, Java, C#, C++), data structures, and automation tools (Kubernetes, Docker, CI/CD).
Ideal Candidate Profile
Proven experience leading AI-driven software development projects integrating cloud and automation technologies.
Strong technical decision-making capabilities with experience shaping product technical architecture and roadmaps.
Experience collaborating closely with business partners and cross-functional teams in complex environments, ideally within pharmaceutical-related domains (clinical, safety, regulatory).