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Azure Enterprise Automation and AI Platform Engineer

Synergis

Hybrid in Atlanta, Georgia • Today

Easy Apply

Full-time

125000 - 155000

Job Details

Skills

Artificial Intelligence
Microsoft Azure
OAuth
Data Loss Prevention
Cloud Computing
Copilot
Azure AI
Power Platform
Claude
Azure OpenAI
Foundry
Microsoft
SharePoint
MS Teams
Automation

Summary

Azure Enterprise Automation and AI Platform Engineer

Atlanta, GA - hybrid

Direct Hire

$145-155K

We are seeking an experienced Enterprise Automation and AI Platform Engineer to support the reliable, secure, and scalable operation of cloud-based productivity, automation, and artificial intelligence platforms. This role will establish platform standards, guide solution architecture, and partner with technical and business teams to deliver governed, cost-effective solutions aligned with organizational goals.

Responsibilities

Lead the architecture, standardization, and governance of enterprise automation and AI platforms.
Define and maintain environment strategies across development, testing, and production.
Establish policies for data protection, integrations, connectors, access controls, and platform usage.
Manage the lifecycle of automated workflows, applications, virtual agents, and AI solutions from development through retirement.
Develop standards that promote solution reuse, maintainability, scalability, and operational reliability.
Integrate automation and AI solutions with cloud services, APIs, identity platforms, and enterprise applications.
Monitor platform usage, solution performance, capacity, adoption, licensing, and operating costs.
Identify opportunities to consolidate solutions, eliminate redundancy, and improve platform efficiency.
Ensure solutions meet organizational security, privacy, compliance, and audit requirements.
Partner with cybersecurity teams to enforce least-privilege access and manage data-exposure risks.
Define intake, evaluation, approval, and prioritization processes for automation and AI use cases.
Provide guidance to technical and business teams on platform standards, development practices, and governance requirements.
Collaborate with infrastructure, security, application, and business stakeholders to translate requirements into secure and scalable solutions.
Balance platform governance and risk management with business enablement and innovation.

Qualifications

Bachelor''s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience.
5+ years of experience supporting enterprise productivity, automation, cloud, or AI platforms.
Hands-on experience with low-code application development, workflow automation, data platforms, conversational agents, or similar technologies.
Strong understanding of cloud productivity environments and their integration with collaboration, content-management, messaging, and identity services.
Experience with role-based access control, application registrations, service identities, and enterprise authentication.
Knowledge of generative AI services, model integration, API-based AI capabilities, and prompt design.
Experience integrating systems through REST APIs, enterprise APIs, OAuth, and managed identities.
Strong understanding of platform governance, deployment, security, compliance, lifecycle management, and risk-management practices.
Proven ability to define standards for solution development, reuse, scalability, and operational support.
Experience advising stakeholders on AI and automation strategy, governance, and responsible adoption.
Strong communication and cross-functional collaboration skills.
Familiarity with data-loss prevention policies, environment management, connector controls, and application lifecycle practices.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: SYNERGIS
Position Id: DW-AzureAI
Posted 7 hours ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

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Denise Wicks

Synergis Recruiter @ Synergis

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Job Details

Skills

Artificial Intelligence
Microsoft Azure
OAuth
Data Loss Prevention
Cloud Computing
Copilot
Azure AI
Power Platform
Claude
Azure OpenAI
Foundry
Microsoft
SharePoint
MS Teams
Automation

Summary

Azure Enterprise Automation and AI Platform Engineer

Atlanta, GA - hybrid

Direct Hire

$145-155K

Responsibilities

Lead the architecture, standardization, and governance of enterprise automation and AI platforms.
Define and maintain environment strategies across development, testing, and production.
Establish policies for data protection, integrations, connectors, access controls, and platform usage.
Manage the lifecycle of automated workflows, applications, virtual agents, and AI solutions from development through retirement.
Develop standards that promote solution reuse, maintainability, scalability, and operational reliability.
Integrate automation and AI solutions with cloud services, APIs, identity platforms, and enterprise applications.
Monitor platform usage, solution performance, capacity, adoption, licensing, and operating costs.
Identify opportunities to consolidate solutions, eliminate redundancy, and improve platform efficiency.
Ensure solutions meet organizational security, privacy, compliance, and audit requirements.
Partner with cybersecurity teams to enforce least-privilege access and manage data-exposure risks.
Define intake, evaluation, approval, and prioritization processes for automation and AI use cases.
Provide guidance to technical and business teams on platform standards, development practices, and governance requirements.
Collaborate with infrastructure, security, application, and business stakeholders to translate requirements into secure and scalable solutions.
Balance platform governance and risk management with business enablement and innovation.

Qualifications

Bachelor''s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience.
5+ years of experience supporting enterprise productivity, automation, cloud, or AI platforms.
Hands-on experience with low-code application development, workflow automation, data platforms, conversational agents, or similar technologies.
Strong understanding of cloud productivity environments and their integration with collaboration, content-management, messaging, and identity services.
Experience with role-based access control, application registrations, service identities, and enterprise authentication.
Knowledge of generative AI services, model integration, API-based AI capabilities, and prompt design.
Experience integrating systems through REST APIs, enterprise APIs, OAuth, and managed identities.
Strong understanding of platform governance, deployment, security, compliance, lifecycle management, and risk-management practices.
Proven ability to define standards for solution development, reuse, scalability, and operational support.
Experience advising stakeholders on AI and automation strategy, governance, and responsible adoption.
Strong communication and cross-functional collaboration skills.
Familiarity with data-loss prevention policies, environment management, connector controls, and application lifecycle practices.

Dice Id: SYNERGIS
Position Id: DW-AzureAI
Posted 7 hours ago

Fitment