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Mid-level, niche GenAI role with moderate employer brand; moderate applicant density.
Core GenAI/ML skills are transferable across industries despite a finance preference.
Explicit 5+ years plus specific GenAI frameworks, deployment and leadership requirements produce high filters.
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Lead end-to-end development and deployment of generative and agentic AI solutions to enhance business operations, particularly in banking and financial services.
Provide technical mentorship to engineering teams and oversee AI project execution, including managing timelines and deliverables.
Continuously evaluate and integrate emerging AI technologies and industry advancements to optimize AI initiatives and maintain a competitive edge.
Minimum 5+ years of experience in software development with focus on generative AI and agentic AI technologies.
Proficient in Python programming and AI frameworks like PyTorch and TensorFlow; experience with cloud AI services such as AWS SageMaker, Azure ML, or GCP AI platform.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Experience working in banking, finance, or enterprise environments preferred but not mandatory.
Experienced leader capable of managing AI-focused projects within cross-functional teams including technical and business stakeholders.
Strong expertise in developing, training, and deploying AI models with practical knowledge of API integration, cloud platforms, and AI ethics/compliance.
Demonstrated ability to innovate and adapt AI solutions for enterprise scale usage, keeping pace with cutting-edge generative and agentic AI trends.