AI Automation Engineer

EdFed•Miami, FL

12h

About The Position

The AI Automation Engineer will serve as the credit union’s hands-on lead for intelligent automation and AI-enabled process improvement. This role is responsible for identifying, designing, and implementing automation solutions that reduce manual effort, increase operational efficiency, and modernize business processes across the organization. This is a builder role, not a research or theoretical position. The successful candidate will work directly with business lines to eliminate repetitive, low-value work through automation, agentic AI, workflow optimization, and integration technologies, with the goal of freeing staff to focus on higher-value member service and strategic activities. This role will wear multiple hats and play a foundational role in establishing future AI capabilities.

Nice To Haves

Experience in financial services, banking, or credit unions.
Familiarity with: AI/ML services (Azure, OpenAI, Anthropic, xAI, Google, etc.) RPA or workflow tools Low-code/no-code platforms Process mining or process mapping tools LLMs, agentic AI, multi-agent systems, and agent-to-agent protocols, such as MCP
Exposure to data governance, model risk, or compliance considerations.
Experience quantifying productivity gains or cost avoidance.

Responsibilities

Automation & AI Delivery: Design, build, and deploy automation solutions using a combination of: AI/ML services (LLM/NLP, classification, summarization, decision support) Workflow automation and orchestration tools Scripting, APIs, and system integrations AI agents
Automate high-volume, manual, and repetitive processes across departments such as Operations, Lending, Marketing, Finance, HR, and IT.
Rapidly prototype and deliver low-risk, high-impact automation use cases. Then build to more complex use cases.
Process Analysis & Optimization: Partner with business stakeholders to map current-state processes and identify inefficiencies.
Quantify time savings, productivity gains, and operational impact of automation initiatives.
Recommend process redesigns that eliminate unnecessary steps prior to automation.
Measurement & Value Realization: Track and document: Hours captured Cycle time reduction Error reduction FTE capacity created through automation Support leadership decisions related to roles due to efficiency gains.
Governance & Risk Awareness: Ensure automations align with security, data privacy, compliance, and risk expectations.
Work closely with Information Security, Risk, and Compliance teams to implement controls proportionate to risk.
Document solutions to support audits and examinations.
Collaboration & Enablement: Serve as an internal consultant, advisor, and champion on automation and AI opportunities.
Educate business teams on automation capabilities and limitations.
Help establish standards, patterns, and best practices for future AI and automation efforts.
Effectively communicate improvements to gain additional buy-in and momentum.