AI & Automation Engineer

Centella•Miami, FL

2d•Hybrid

About The Position

The AI & Automation Engineer bridges modern AI technologies with Centella’s core business applications. The role focuses on embedding AI, machine learning, and intelligent automation into the Dynamics 365 ecosystem and Dataverse. Working with internal DevOps engineers, business stakeholders, and an external Dynamics 365 implementation partner, the engineer turns manual, repetitive tasks into automated workflows that improve company efficiency. The engineer designs and deploys solutions using Microsoft Power Automate, Copilot Studio, and Azure AI services; develops Copilots, prompts, and predictive models; maintains Dataverse data pipelines; and builds integrations with other business systems. The role also supports deployment practices, responsible AI and data governance, production monitoring, user adoption, and the development of reusable automation standards. This is a hybrid position requiring office presence in South Miami two to three days per week; the company may change this arrangement at its sole discretion.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
At least 2 years of hands-on experience customizing, configuring, and extending Microsoft Dynamics 365 and the Power Platform.
Demonstrated experience deploying AI or automation solutions in a production enterprise environment.
Experience working with external implementation partners or vendors.
Hands-on expertise customizing, configuring, and extending Microsoft Dynamics 365 Finance & Operations or Customer Engagement/CRM and the Power Platform.
Practical enterprise experience with Microsoft Copilot Studio, Azure OpenAI Service, AI Builder, and prompt engineering.
A proven ability to replace manual business processes with robust automated cloud flows.
Working knowledge of DevOps and application lifecycle management practices, including Git, Azure DevOps, and Microsoft solution lifecycle management.
Strong collaborative communication skills, including the ability to map complex workflows with non-technical stakeholders and translate them into technical solutions.
Strong analytical and problem-solving skills, including the ability to prioritize competing requests and manage multiple projects.

Nice To Haves

Relevant Microsoft certifications, such as Power Platform Developer or Azure AI Engineer.

Responsibilities

Design, build, and deploy automated workflows using Microsoft Power Automate, Copilot Studio, and Azure AI services integrated with Dynamics 365.
Develop and maintain specialized Copilots, AI prompts, and predictive models, including examples such as predictive maintenance, cash flow forecasting, and sentiment analysis.
Work with business stakeholders to map manual workflows, identify valuable automation opportunities, and translate them into technical AI solutions.
Optimize Dataverse data pipelines so AI modules and reporting systems receive clean, reliable data, working with the Senior Data & Reporting Analyst.
Package AI, Copilot, and automation solutions as managed solutions and use Azure DevOps pipelines for testing, version control, and deployment across Development, Sandbox, and Production environments.
Collaborate with the external Dynamics 365 implementation partner to align core development with automation extensions.
Apply responsible AI, data security, and governance practices to protect sensitive business and customer data.
Monitor, troubleshoot, and improve AI and automation solutions in production.
Measure, document, and report automation impacts, including reductions in manual data entry and processing time.
Build and maintain integrations between Dynamics 365, Dataverse, and other business systems using connectors, APIs, Logic Apps, and Azure Functions.
Administer Power Platform environments, connectors, and data loss prevention policies; monitor AI and automation consumption and licensing costs.
Establish reusable components, automation standards, and best practices to support the IT team’s transition to a DevOps operating model.
Participate in peer reviews, testing, and user acceptance testing to confirm solutions are reliable and meet business requirements.
Create and maintain technical documentation, solution designs, and support runbooks.
Train and support end users on Copilots, AI tools, and automated workflows to encourage adoption.
Keep current with Microsoft AI, Dynamics 365, and Power Platform release waves and recommend useful capabilities.