• designs, develops, and supports scalable automation solutions that drive operational efficiency • partners closely with business and technology teams to identify opportunities, deliver automation solutions, and enhance existing processes • plays a key role in advancing Origin Bank’s automation strategy through reliable execution, strong documentation, and continuous improvement of RPA capabilities • operates with moderate independence, contributing to solution design and supporting the full automation lifecycle from development through production support • designs, builds, and enhances automation solutions using RPA platforms with limited supervision • collaborates with business stakeholders to gather requirements and translate them into automation workflows and technical designs • executes testing plans, validates automation performance, and communicates results to stakeholders • designs automations with appropriate exception handling, logging, and recovery mechanisms to ensure reliability and resiliency • monitors the Blue Prism control room, triages exceptions, and determines resolution actions • supports production automations and participates in issue resolution and root cause analysis • works within a structured development lifecycle, including development, testing, deployment, and post-production support • integrates automation solutions with APIs, databases, and file-based systems as needed to support business processes • maintains comprehensive technical documentation for processes, objects, and supporting materials in accordance with departmental standards • identifies opportunities to improve process efficiency and scalability • shares automation knowledge and provides guidance to team members

• Defining and delivering an AI Ops network automation strategy aligned to business and customer outcomes • Identifying and implementing automation across network provisioning, configuration, monitoring, and analytics • Building and operating on‑prem AI infrastructure , including GPU‑enabled environments using Docker and Kubernetes • Deploying and orchestrating agentic AI systems (e.g., LangChain, LangGraph) • Embedding security best practices across AI pipelines (secrets management, access control, encryption, audit logging) • Developing automation using Python, Ansible, YAML , and integrating into CI/CD pipelines • Delivering network orchestration , inventory, telemetry, and NetFlow‑based analytics for a carrier‑grade environment • Collaborating closely with software, platform, and network engineering teams globally

• Define and deliver an AI Ops network automation strategy aligned to business and customer outcomes • Identify and implement automation across network provisioning, configuration, monitoring, and analytics • Build and operate on-prem AI infrastructure, including GPU-enabled environments using Docker and Kubernetes • Deploy and orchestrate agentic AI systems (e.g., LangChain, LangGraph) • Embed security best practices across AI pipelines (secrets management, access control, encryption, audit logging) • Develop automation using Python, Ansible, YAML, and integrating into CI/CD pipelines • Deliver network orchestration, inventory, telemetry, and NetFlow-based analytics for a carrier-grade environment • Collaborate closely with software, platform, and network engineering teams globally

• Research, prototype, and implement automations using AI tools and APIs (e.g., OpenAI, Zapier, Python scripts, Slackbots, etc.). • Assist in developing internal tools that reduce manual work across departments. • Evaluate and document AI tools to help teams adopt the most effective solutions. • Collaborate with engineering and Operations teams to optimize internal systems and contribute to code quality through documentation and simple scripts. • Explore opportunities for integrating AI into customer-facing products in a compliant and secure way.