Platform Engineer - AI & Automation Platform

Job Description Job Description Role: Platform Engineer – AI & Automation Platform

Location: Remote

Type: Contract (Long term)

Role Summary: 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

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 Competencies

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