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Strong employer brand and AI leadership role in a metro raise applicant density moderately.
Requires specialized ML/LLM engineering and regulated model governance experience, limiting cross-industry transferability.
Role requires deep AI production experience, governance expertise, and enterprise delivery, so filtering will be strict.
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Own and manage the entire Investor Operations AI portfolio, driving prioritization, execution, and measurable value delivery across AI projects.
Provide technical oversight and challenge on AI solution design, model selection, and implementation to ensure scalable, compliant, and enterprise-aligned AI deployments.
Lead coordination and governance of AI initiatives across Investor Operations, promoting reuse, standardization, and compliance with model risk management and regulatory requirements.
Strong hands-on experience designing, building, and deploying AI solutions in production, including ML, NLP, LLMs, and AI architectures like RAG and Agentic AI.
Proficiency in Python-based ecosystems and modern AI frameworks (LangChain, OpenAI/Azure OpenAI, Hugging Face, vector databases, cloud AI platforms).
Bachelor's degree or equivalent experience in a relevant field.
Work Experience Required: Not explicitly mentioned in the JD.
Experience leading enterprise-scale AI delivery within financial services or similarly regulated environments, including AI governance and model risk management.
Proficient in bridging AI technical teams with business stakeholders to align AI solutions with operational goals and regulatory expectations.
Skilled in scaling and operationalizing AI capabilities across multiple teams and regions, driving standardization and reuse of AI models and components.