Director, AI Engineering

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General Function The Director of AI Engineering creates and drives the strategy for business across artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank. This role involves leading a team of AI Engineers who conduct rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements.

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

SUPERVISORY RESPONSIBILITIES Responsible for providing employees timely, candid and constructive performance feedback, developing employees to their fullest potential and providing challenging opportunities that enhance employee career growth, developing the appropriate talent pool to ensure adequate bench strength and succession planning, and recognizing and rewarding employees for accomplishments

Essential Duties and Responsibilities

AI Development and Implementation Design, develop, and implement AI and machine learning systems that address specific business challenges and deliver measurable value.

Create and maintain model documentation, ensuring transparency in methodologies and approaches.

Research, test, and apply state-of-the-art generative AI models and/or solutions for potential use.

Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization for complex task completion.

Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ensure output quality.

Stay current with emerging AI/ML technologies, frameworks, and methodologies.

Contribute to establishing best practices for AI development and deployment.

Develops and executes the AI portfolio strategy, overseeing budgets, vendor relationships, and talent planning to ensure alignment with business objectives and regulatory requirements.

Owns strategy and results for the AI function, interpreting organizational needs, recommending best practices, and ensuring alignment with business objectives and compliance requirements.

Analytics and Insights Extract meaningful patterns and insights from complex, multi-dimensional data sets.

Apply advanced analytics including predictive modeling, machine learning, and optimization techniques.

Translate business questions into well-defined analytical problems with clear objectives

Design and execute experiments with statistically valid methodologies and evaluation criteria.

Develop specialized analytics for banking-specific use cases while maintaining compliance with financial regulations.

Collaboration and Communication Manages large projects or teams, providing direct supervision to three or more professionals and overseeing area planning, prioritization, and execution.

Partner with cross-functional teams to understand business requirements and translate them into technical solutions.

Effectively communicate complex technical concepts to non-technical stakeholders.

Establishes and governs risk management, compliance frameworks, and value realization metrics for all AI initiatives, reporting outcomes to senior leadership and driving continuous improvement.

Present findings, recommendations, and insights to business teams in accessible formats.

Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products.

Work with compliance and security teams to ensure AI systems meet banking regulatory requirements.

Minimum Knowledge,

Skills and Abilities

Required

Education and Experience Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related technical field;
Advanced degree preferred but not required.
8+ years of experience developing and deploying machine learning or AI solutions in production environments.

Technical Skills Strong programming skills with proficiency in Python; familiarity with JavaScript and SQL.Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, tool integration, and agentic system design.

Experience with cloud computing platforms (AWS preferred, specifically Bedrock,…