Senior AI Engineer

Role : Senior AI Engineer
Location: Detroit Michigan

Key Responsibilities
Design build and maintain cloud infrastructure and platform services on Azure supporting web and API-based applications.

Implement and manage Infrastructure as Code (IaC) using Terraform to deliver repeatable and compliant environments.

Support and optimize Azure Kubernetes Service clusters including deployment scaling upgrades and operational troubleshooting across multiple application environments (dev/test/prod).

Partner with application teams to ensure secure performant and scalable deployments providing guidance on best practices.

Implement and enforce security governance and compliance controls across cloud environments.

Support CI/CD pipelines enabling automated builds deployments and environment provisioning in Azure DevOps.

Manage and operate Argo CD.

Monitor system health performance and cost proactively identifying risks and optimization opportunities using Prometheus and Grafana.

Lead and contribute to modernization efforts including migrating legacy workloads to cloud-native architectures.

Troubleshoot complex infrastructure and deployment issues across lower and higher environments.

Participate in Agile ceremonies and collaborate effectively in a fast-paced cross-functional team

Maintain documentation and promote operational best practices that support long-term platform reliability.

Maintain and track certificates to ensure consistent website uptime and user experience.

Along with other members of the team provide support when production issues occur.

Required Skills & Experience

Strong experience as a Cloud / Infrastructure Engineer primarily in Microsoft Azure.

Hands-on experience with Kubernetes (AKS) and containerized workloads.

Strong understanding of networking identity access management and cloud security principles.

Experience implementing and maintaining CI/CD pipelines using Azure DevOps or similar tools.

Proficiency with Git and branching strategies (e.g. GitFlow).

Experience supporting Web APIs and application platforms from an infrastructure and operational perspective.

Knowledge of performance scalability high availability and disaster recovery design.

Experience with automation scripting and operational tooling.

Familiarity with Agile delivery models and DevSecOps/SRE practices.

Ability to work independently prioritize effectively and collaborate across teams.

Familiarity with React/.NET application stacks from a platform support perspective. Nice to Have

Experience modernizing legacy applications to cloud-native architectures.

Experience with policy management (Azure Policy) and governance frameworks.

Exposure to monitoring and observability tools including Loki and OpenTelemetry.

Strong communication skills to translate infrastructure concepts to non-infrastructure teams.

Experience implementing AI thoughtfully across platform engineering and application teams

Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development Projects Requirements Analysis Software Design Software Implementation Efficient Build Release Process and turnkey software V & V Services. We have more than 20 years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment connected vehicles Cyber security OTA and Advanced Safety/ Body electronics.