AI Platform Engineer – Copilot Studio & Power Platform

SSB002 SOUTHSTATE BANK, NATIONAL ASSOCIATION; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

SouthState Bank, National Association seeks an AI Platform Engineer to design, build, and operate the bank’s Copilot Studio and Power Platform ecosystem. You will deliver production-ready Copilot agents, custom connectors, and secure Dataverse data models for enterprise workflows.

Join a team accelerating AI adoption while maintaining compliance with bank security standards, governance, and SDLC practices. Hybrid remote work options support collaboration with software, data, and AI engineers.

Qualifications

• Bachelor’s degree or 5+ years of equivalent experience.
• 5+ years building enterprise solutions on Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
• 2+ years on Microsoft Copilot Studio or comparable AI/agent platforms.

Responsibilities

• Design, build, and deploy Copilot Studio agents and topics for enterprise workflows.
• Develop and maintain Power Platform connectors and MCP servers securely exposing internal systems.
• Architect Dataverse solutions with tables, security, and business rules as system of record.
• Build agent tools and plugs to extend Copilot Studio with API integrations and AI orchestration.
• Operate Power Platform ALM at scale with environments, packaging, and pipelines.

Skills

Power Platform

Copilot Studio

Dataverse

C#

ASP.NET Core

Azure OpenAI

GitHub Actions

Security & Compliance

ALM

Education

Bachelor’s degree or 5+ years experience

Tools

OpenAPI

MCP servers

Power Platform connectors

GitHub Actions

Job description

SouthState Bank, National Association seeks an AI Platform Engineer to design, build, and operate the bank’s Copilot Studio and Power Platform ecosystem. You will deliver production-ready Copilot agents, custom connectors, and secure Dataverse data models for enterprise workflows.

Join a team accelerating AI adoption while maintaining compliance with bank security standards, governance, and SDLC practices. Hybrid remote work options support collaboration with software, data, and AI engineers.