Sr. Manager, Information Security (AI)

Responsibilities

The role has a diverse range of objectives, which include developing an enterprise AI strategy, safeguarding the bank's assets by leveraging AI and combating adversarial AI with AI, developing enterprise-wide scalable solutions for AI, and ultimately managing and directing processes to meet the needs of TD's AI strategy. The successful candidate will act as a subject matter expert on cross-functional teams, identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit. This requires an understanding of company and client challenges and how integrating AI capabilities can help lead to solutions.

· Develop Strategic Enterprise scalable solutions for AI.

· Design, develop, and implement artificial intelligence systems.

· Creation and validation of algorithms, neural networks, and other machine learning techniques.

· involved in the end-to-end development and deployment of machine learning models.

· Maintain full stack AI/ML applications, ensuring high performance, reliability, and scalability.

· Collaborate with cross-functional teams to define, design, and ship new features.

· Design and implement AI algorithms that drive outcomes for stakeholders.

· Cybersecurity for AI - Safeguarding the bank's assets by leveraging AI and combating adversarial AI with AI

· SME on cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit.

· Manage and direct processes to meet the needs of our AI strategy.

· Develop and maintain the full stack, ensuring high performance, reliability, and scalability.

· transitioning ML models from development environments to production systems.

· Leveraging AI to detect series anomalies, event correlation, and user experience prediction.

· Model data by developing and verifying the unique machine learning models.

· Design and Implement ML Algorithms

Required skills and qualifications

· Bachelor’s/master's degree in computer science, computer engineering, or relevant field

· Minimum 7+ years in IT

· 2+ Years in applying AI to practical and comprehensive technology solutions

· 3+ Years Azure Cloud Engineer

· Strong knowledge of AI Frameworks (TensorFlow, PyTorch)

· Expertise on deep learning, machine learning and NLP

· 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

· Previous experience utilizing Machine Learning and data preprocessing to Automate Processes

· Proven track record of success leveraging AI to identify patterns, analyze large data sets, optimize processes, and predict future trends

· Excellent communications skills and previous experience presenting to senior executives.

· Using Azure AI services to deploy AI models/applications - Azure OpenAI, Azure Machine Learning, Azure AI Studio

· Strong Prompt Engineering, Python Development and REST API skills