Senior Manager, Information Security (AI)

at  TD Bank

JOB DESCRIPTION:

TD is at the forefront of digital reinvention. TD is at the forefront of digital reinvention. We’re looking for experienced artificial intelligence engineers to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help improve various business outcomes and drive innovation. The successful candidate will join a multidisciplinary team shaping TD’s AI strategy and showcasing the potential for AI through early-stage solutions. This role provides a unique opportunity to tackle emerging trends and technologies to make a real-world difference.
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

Salary : $108,000 - 160,000

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

• 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 Algorithm