Ai Sr. Platform Engineer

General Description
The AI Platform Engineering Lead is responsible for building and leading the Banks AI Platform Engineering function, enabling the secure, scalable, and responsible adoption of Artificial Intelligence across the enterprise technology ecosystem.

This role combines technical leadership, people leadership, and hands:on platform engineering expertise. The selected candidate will establish and lead a team of AI Platform Engineers responsible for designing, implementing, and supporting enterprise AI capabilities that enhance software delivery, developer productivity, automation, observability, and platform operations.

The AI Platform Engineering Lead will partner with Engineering, Architecture, Cybersecurity, Product, and Technology leaders to deliver innovative AI:enabled solutions while ensuring compliance with security, governance, risk, and regulatory requirements. The ideal candidate is a strong engineering leader with experience building cloud:native platforms, enabling modern software delivery practices, and implementing enterprise AI technologies in complex and regulated environments.
Essential Duties and ResponsibilitiesLeadership and Team Development

:Build, develop, and lead a high:performing AI Platform Engineering team.
:Establish team objectives, delivery standards, performance expectations, and career development plans.
:Provide technical coaching, mentorship, and guidance to engineers supporting AI platform initiatives.
:Foster a culture of collaboration, innovation, accountability, continuous learning, and operational excellence.
:Partner with senior technology leaders to define and execute the vision, roadmap, and strategy for AI platform services.AI Platform Engineering

:Design, implement, and support enterprise AI platform capabilities that accelerate adoption of Artificial Intelligence across the organization.
:Lead the integration, configuration, and operational management of AI platforms and services, including large language model (LLM) technologies and managed AI services.
:Develop reusable platform components, automation frameworks, and engineering standards that enable secure and scalable AI adoption.
:Implement and maintain AI:enabled developer productivity solutions and engineering automation capabilities.
:Ensure platform reliability, scalability, availability, performance, and operational excellence.
:Collaborate with cross:functional technology teams to deliver enterprise:ready AI capabilities aligned with business objectives.Cloud, Automation and Platform Architecture

:Design and implement cloud:native solutions leveraging modern engineering and platform practices.
:Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, CloudFormation, or similar technologies.
:Integrate AI capabilities into software development, DevSecOps, testing, automation, and cloud platform workflows.
:Contribute to reference architectures, engineering standards, and reusable technology frameworks.
:Drive adoption of modern software engineering practices and platform automation strategies.Security, Governance and Risk Management

:Ensure AI platform capabilities comply with enterprise security, governance, risk, privacy, and regulatory requirements.
:Partner with Cybersecurity teams to implement secure deployment practices, monitoring controls, access management, and risk mitigation strategies.
:Support threat modeling, vulnerability management, security reviews, and audit readiness efforts.
:Maintain documentation, technical standards, operational procedures, and governance controls supporting AI platform services.
:Promote responsible AI practices and secure software development methodologies.FinOps, Observability and Operational Excellence

:Establish monitoring, observability, reporting, and operational metrics for AI platform services.
:Develop dashboards and reporting capabilities to measure platform health, adoption, utilization, reliability, and perf