Senior Manager - Artificial Intelligence

Responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business problems. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to drive innovation and deliver AI-driven products and services. Solid experience in developing and implementing AI models and algorithms using frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in languages such as Python, Java, or C++, with the ability to write clean, efficient, and maintainable code. Deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep neural networks, and reinforcement learning. Proficiency in data manipulation, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib. Knowledge of cloud platforms and services, such as AWS, Azure, or Google Cloud, for building and deploying AI solutions. Experience with Azure AI cloud platforms and services, such as AI Foundry, Citadel, Azure ML, and other AI apps for building and deploying AI solutions. Familiarity with big data technologies, such as Hadoop and Spark, for processing and analyzing large-scale datasets. Knowledge of software engineering best practices, including version control, unit testing, and agile methodologies. Excellent problem-solving and analytical skills, with the ability to break down complex problems and propose innovative solutions. Strong communication skills to effectively collaborate with cross-functional teams and present complex AI concepts to non-technical stakeholders. AI Model Development and Deployment Establish and enforce AI assurance guardrails for model development and deployment across all AI initiatives. Review and approve AI solutions for production readiness, focusing on robustness, scalability, security, and operational fit. Ensure AI models adhere to enterprise standards for documentation, traceability, versioning, and lifecycle management. Partner with engineering and data science teams to embed assurance-by-design into AI delivery pipelines. Ensure AI solutions comply with Responsible AI, data governance, and regulatory requirements prior to deployment. AI Assurance Own and operationalize the AI Assurance Framework under the oversight of the AI Governance Board (AIGB). Act as the primary interface and subject matter authority to the AIGB on AI risk, ethics, compliance, and assurance matters. Prepare, present, and recommend AI use cases, risk assessments, and assurance outcomes for AIGB review and decision making.

Desired Candidate Profile

Solid experience in developing and implementing AI models and algorithms using frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in languages such as Python, Java, or C++, with the ability to write clean, efficient, and maintainable code. Deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep neural networks, and reinforcement learning. Proficiency in data manipulation, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib. Knowledge of cloud platforms and services, such as AWS, Azure, or Google Cloud, for building and deploying AI solutions. Experience with Azure AI cloud platforms and services, such as AI Foundry, Citadel, Azure ML, and other AI apps for building and deploying AI solutions. Familiarity with big data technologies, such as Hadoop and Spark, for processing and analyzing large-scale datasets. Knowledge of software engineering best practices, including version control, unit testing, and agile methodologies. Excellent problem-solving and analytical skills, with the ability to break down complex problems and propose innovative solutions. Strong communication skills to effectively collaborate with cross-functional teams and present complex AI concepts to non-technical stakeholders.