Senior AI & Automation Specialist

Role Overview

• Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
• Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
• Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
• Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
• Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
• Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
• Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
• Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
• Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
• Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
• Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
• Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
• Performs other duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
• Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
• Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
• Proven ability to lead complex, cross-functional technology initiatives.
• Experience integrating AI capabilities into operational workflows and automation platforms.
• Strong understanding of model risk, data governance, and regulatory considerations within financial services.
• Advanced degree (Master’s or PhD) in AI, Data Science, or related discipline preferred.
• Experience with NLP, document intelligence, and predictive modeling techniques preferred.
• Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems preferred.
• Familiarity with enterprise AI governance frameworks and model lifecycle management preferred.
• Strong understanding of cloud-based AI architecture and API-driven integrations preferred.
• Exceptional stakeholder engagement and ability to translate technical concepts into business value preferred.
• Experience building or scaling intelligent automation programs within financial services preferred.
• Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations preferred.
• Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.

Tech Stack

• Azure
• Cloud
• Python
• RPA

Benefits

• No travel required.