Senior AI Platform Engineer

Tier4Group — United States · Posted ~2 hours ago

Senior

Skills

Microsoft Azure platform engineering cloud infrastructure DevOps CI/CD automation AI technologies secure scalable platforms AI

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Summary ✨ AI‑Generated

Join a growing organization where AI and automation are strategic priorities. As a Senior Platform Engineer, you will design and maintain scalable cloud infrastructure in Microsoft Azure, develop CI/CD and automation frameworks, and help deliver secure, reliable platforms that support both operational efficiency and emerging AI capabilities. The role offers direct exposure to senior technology leadership and significant technical influence.

Highlights

High-visibility senior platform role combining cloud infrastructure, DevOps, automation, and AI. Work closely with technology leaders and business stakeholders, influence major technical decisions, and help shape secure, scalable platforms supporting strategic AI initiatives.

Description

We are seeking a Senior Platform Engineer to help build, scale, and support the cloud infrastructure, automation frameworks, and AI-enabled solutions that will power the next phase of a growing organization's technology strategy. This is a highly visible role that combines platform engineering, cloud infrastructure, DevOps, and emerging AI technologies. You will work closely with technology leadership, business stakeholders, and development partners to deliver secure, scalable, and reliable platforms that support both operational efficiency and future innovation. This is an opportunity to join an organization where AI and automation are strategic priorities, with direct exposure to executive leadership and the ability to influence key technical decisions. What You'll Do Platform Engineering & Cloud Infrastructure Design, build, and maintain scalable cloud infrastructure in Microsoft Azure.Develop and manage CI/CD pipelines to support application delivery and platform reliability.Implement infrastructure-as-code, automation, and environment management practices.Support cloud-native services, monitoring, identity management, and security best practices.Drive production readiness, including deployment strategies, rollback procedures, and operational excellence. AI & Automation Initiatives Help build and support AI-enabled workflows, services, and business automation initiatives.Work with modern AI platforms, LLMs, and orchestration tools to support intelligent business processes.Contribute to AI observability, evaluation, monitoring, and governance practices.Assist in integrating AI capabilities into existing business applications and operational systems.Partner with leadership to evaluate emerging technologies and recommend scalable solutions. Integration & Systems Enablement Build and maintain integrations across internal business applications and third-party platforms.Develop reusable services, APIs, and platform capabilities that accelerate future development.Support data movement, event-driven architectures, and operational reporting needs.Collaborate with external development partners to review solutions and ensure alignment with platform standards. Leadership & Collaboration Work directly with executives, business leaders, and technology teams to understand requirements and deliver solutions.Take ownership of projects from design through implementation and production support.Provide technical guidance and help establish best practices across platform, DevOps, and AI initiatives.Communicate complex technical concepts to both technical and non-technical stakeholders. What We're Looking For Required Qualifications 4+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering, or Backend Development.Strong experience with Microsoft Azure and cloud-native services.Experience designing and supporting CI/CD pipelines and automated deployment processes.Proficiency with infrastructure-as-code tools such as Terraform, Bicep, ARM, or similar technologies.Experience with modern programming or scripting languages such as TypeScript, Python, JavaScript, or similar.Hands-on experience working with AI technologies, LLM platforms, or AI-enabled applications.Strong understanding of cloud security, identity management, secrets management, and operational best practices.Excellent communication skills and the ability to work across technical and business teams. Preferred Qualifications Experience with AI orchestration frameworks, workflow automation, or agent-based systems.Exposure to observability, monitoring, and application performance management tools.Experience with event-driven architectures, APIs, and enterprise integrations.Background in regulated industries such as insurance, financial services, healthcare, or similar environments.Familiarity with Azure Functions, Service Bus, Azure SQL, GitHub Actions, Kubernetes, or related technologies. What Success Looks Like In this role, you will: Help scale and modernize a strategic cloud and AI platform.Enable the successful deployment of AI-powered business solutions.Improve platform reliability, automation, and developer productivity.Partner with leadership to drive technology initiatives from concept to production.Serve as a trusted technical resource capable of balancing hands-on engineering with strategic thinking.