Azure AI Enterprise Platform Engineer

Synergis; Atlanta (GA); Hybrid; USD 145,000 - 155,000; Full time

Job summary

Synergis is seeking an experienced Azure Enterprise Automation and AI Platform Engineer in Atlanta, GA (hybrid) for direct hire. The role focuses on reliable, secure, and scalable cloud-based productivity, automation, and AI platforms.

You will define platform standards, guide solution architecture, and partner with technical and business teams to deliver governed, cost-effective solutions. The ideal candidate has 5+ years in enterprise productivity, automation, Azure cloud, or AI platforms,

Qualifications

• Requires a Bachelor's degree in IT, CS, Engineering, or equivalent
• 5+ years supporting enterprise productivity, automation, Azure cloud, or AI platforms
• Hands-on with low-code development and workflow automation
• Strong understanding of cloud productivity environments and integrations
• Experience with RBAC, app registrations, service identities, and enterprise authentication
• Knowledge of generative AI services, model integration, and API capabilities
• Experience integrating systems via REST APIs, OAuth, and managed identities
• Strong governance, security, compliance, lifecycle, and risk-management practices
• Experience with Azure AI, Power Platform, Copilot Studio, Azure services and M365
• Ability to advise stakeholders on AI/automation strategy and governance
• Strong communication and cross-functional collaboration skills
• Familiarity with data-loss prevention, environment management, and connector controls

Responsibilities

• Lead architecture, standardization, and governance of enterprise automation and AI platforms
• Define environment strategies across development, testing, and production
• Establish data protection, integrations, connectors, access controls, and platform usage policies
• Manage lifecycle of automated workflows, apps, virtual agents, and AI solutions
• Develop standards for reuse, maintainability, scalability, and reliability
• Integrate automation/AI with cloud services, APIs, identity platforms, and enterprise apps
• Monitor platform usage, performance, capacity, adoption, licensing, and costs
• Identify consolidation opportunities and drive efficiency
• Ensure security, privacy, compliance, and audit requirements
• Partner with cybersecurity to enforce least-privilege access and data exposure risk controls
• Define intake/evaluation/approval/prioritization for automation and AI use cases
• Provide guidance on platform standards and governance practices
• Collaborate with infrastructure/security/app teams to translate requirements into secure solutions
• Balance governance with business enablement and innovation

Skills

Azure cloud

Low-code development

Workflow automation

Data platforms

Conversational agents

REST APIs/OAuth/Identity

Communication & collaboration

Education

Bachelor's degree in IT/CS/Engineering or equivalent

Tools

Azure AI

Power Platform

Copilot Studio

M365

Job description

Azure Enterprise Automation and AI Platform Engineer

Atlanta, GA - hybrid

Direct Hire

$145-155K

We are seeking an experienced Azure Enterprise Automation and Azure 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, Azure 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.
• Experience with Azure AI, Power Platform, Copilot Studio, Azure services and M365
• 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.

The compensation range for this position is $145K to $155K

(dependent on factors including but not limited to client requirements, experience, statutory considerations, and location).

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at ww.synergishr.com.