AI Engineer - Automated Channels Transformation

AI Engineer – Automated Channels Transformation

The Principal AI Engineer architects and implements artificial intelligence and machine learning systems to address diverse business challenges throughout the bank. This role involves rigorous data analysis, statistical evaluation, experimental design, and the development of algorithms that leverage both structured and unstructured data. The engineer creates solutions ranging from on-demand analytics to fully integrated software systems, working closely with cross‑functional teams to align solutions with business requirements.

Responsible and accountable for risk by openly exchanging ideas and elevating concerns, the engineer ensures that actions and behaviors drive a positive customer experience while operating within the bank’s risk appetite. The role consistently identifies, assesses, manages, monitors, and reports risks of all types.

• 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.
• Set enterprise‑wide technical standards by defining reference architectures, chairing design reviews, and approving model‑lifecycle gates (e.g., data sourcing, bias audits, drift monitoring).

• 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.

• Lead projects or processes with limited supervision, applying advanced knowledge to solve complex problems and coach or review the work of lower‑level professionals.
• Act as a resource for colleagues, influencing technical direction and standards across multiple products and platforms.
• Drive cross‑team technical initiatives and mentor Lead Engineers, ensuring integration, scalability, and compliance across multiple products and platforms.
• Partner with cross‑functional teams to understand business requirements and translate them into technical solutions.
• Effectively communicate complex technical concepts to non‑technical stakeholders.
• 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:
  Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or a related technical field; an advanced degree is preferred but not required.
• 6+ years of experience developing and deploying machine-learning or AI solutions in production environments.

• 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, Sage Maker, Lex, etc.).
• Skilled in data visualization and storytelling, effectively communicating complex…