Senior Engineer, AI

Role: Lead AI/ML solution architect specializing in financial applications within the biopharma sector, focusing on designing, developing, and deploying advanced machine learning and generative AI models to automate workflows and enhance decision-making. Responsibilities: conceive and implement scalable, secure AI architectures; develop data pipelines, APIs, and MLOps practices; oversee model performance and retraining; collaborate cross-functionally with risk, compliance, and business units; evaluate emerging AI/ML technologies and ensure auditability and compliance. Requirements: Bachelor's degree with 6 years, Master’s with 5 years, or PhD with minimal experience; strong expertise in Python, data science, machine learning, generative and agentic AI; proven AWS architecture experience; experience developing robust data pipelines, APIs, and deploying ML solutions with strong focus on security, scalability, and compliance. Preferred: AWS certifications, excellent communication skills, and cross-functional collaboration abilities. High-Value: focus on AI/ML, generative AI, agentic AI, AWS platform, financial use cases, scalable and compliant architecture design, and cross-disciplinary stakeholder engagement. WorkSetup: not specified; travel requirements not mentioned.