Platform Engineer AI Automation Platform
Fully Remote - US
Platform Engineer AI Automation Platform
Full Time • Fully Remote - US
Job Title: Platform Engineer – AI & Automation Platform
Location: Remote/onsite, USA
Experience Required: 8+ years
We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.
Key Responsibilities
* Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
* Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
* Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
* Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
* Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
* Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
* Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
* Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
* Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
* Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
* Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
* Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
* Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
* Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services
Required Qualifications
* 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
* Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
* Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
* Experience with infrastructure automation, deployment scripting, environment management, and configuration management
* Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
* Experience supporting cloud-native and hybrid architectures across Azure and AWS
* Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
* Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
* Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
* Experience supporting agile product delivery teams in large enterprise environments
* Strong troubleshooting, automation, and systems thinking capabilities
Key Responsibilities
* Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
* Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
* Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
* Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
* Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
* Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
* Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
* Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
* Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
* Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
* Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
* Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
* Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
* Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services
Required Qualifications
* 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
* Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
* Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
* Experience with infrastructure automation, deployment scripting, environment management, and configuration management
* Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
* Experience supporting cloud-native and hybrid architectures across Azure and AWS
* Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
* Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
* Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
* Experience supporting agile product delivery teams in large enterprise environments
* Strong troubleshooting, automation, and systems thinking capabilities
Preferred Qualifications
* Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
* Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
* Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
* Experience with containerization, serverless architectures, and modern cloud platform services
* Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
* Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments
Core Technologies
* Microsoft Power Platform
* Dataverse
* Dynamics 365 Finance & Operations
* Azure Services
* AWS Services
* Azure DevOps
* GitHub
* REST APIs & Integrations
* Power Platform Copilot Studio
* M365 Copilot
* Azure AI Foundry
* CI/CD & Automation Tooling
* Observability & Monitoring Platforms
* Automated Testing & Quality Engineering Tooling
* Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
* Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
* Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
* Experience with containerization, serverless architectures, and modern cloud platform services
* Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
* Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments
Core Technologies
* Microsoft Power Platform
* Dataverse
* Dynamics 365 Finance & Operations
* Azure Services
* AWS Services
* Azure DevOps
* GitHub
* REST APIs & Integrations
* Power Platform Copilot Studio
* M365 Copilot
* Azure AI Foundry
* CI/CD & Automation Tooling
* Observability & Monitoring Platforms
* Automated Testing & Quality Engineering Tooling
This is a remote position.
Compensation: $65.00 per hour
About
In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs.
That’s why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right.
Who We Are
Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need – with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company’s unique scenario and requirement, and then architect a solution accordingly.
Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders – customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.
(if you already have a resume on Indeed)