AI Platform Engineer
Siemens Energy, Inc.
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Benefits offered by this job
Job summary
Siemens Energy, Inc. is seeking an experienced AI Platform Engineer to design, implement, and operate enterprise-grade cloud infrastructure across AWS, Azure, and GCP. You will enable AI workloads, automate DevOps, and ensure secure, compliant operations for mission-critical apps.
You will architect scalable cloud platforms, manage EKS/AKS/GKE, and build CI/CD pipelines with IaC. You will collaborate with product and security teams to deliver reliable cloud services and advance observability and
Qualifications
- 5-8 years of professional cloud and DevOps experience.
- Expertise across AWS, Azure, and Google Cloud Platform.
- Hands-on with Terraform, GitHub/GitLab, Azure DevOps.
- Experience managing EKS/AKS/GKE.
- Strong scripting: Python, Bash, PowerShell, YAML.
- Knowledge of observability and monitoring stacks.
- Understanding security compliance and AI governance.
- Ability to collaborate with cross-functional teams.
Responsibilities
- Architect, design, and manage scalable, secure, and cost-efficient infrastructure across AWS, Azure, and GCP.
- Build, automate, and optimize CI/CD pipelines, IaC workflows, and cloud-native deployments.
- Manage Kubernetes environments including EKS, AKS, GKE, with RBAC, networking, and autoscaling.
- Troubleshoot infrastructure across compute, networking, storage, security, and platform layers.
- Implement DevOps practices with observability using Prometheus, Grafana, ELK.
- Design, deploy, and manage GPU-based and AI/ML infra incl. MCPs and model serving platforms.
- Ensure IT compliance, security policies, AI governance, and audit readiness.
- Collaborate with engineering, product, and security teams to deliver reliable cloud services.
- Document cloud architectures, SOPs, and processes.
- Mentor teams on cloud engineering and DevOps best practices.
Skills
Tools
Job description
As an AI Platform Engineer, you will be responsible for designing, implementing, and operating enterprise-grade cloud and platform infrastructure across AWS, Azure, and GCP. Your day will involve enabling AI and ML workloads, strengthening DevOps automation, and ensuring reliable, secure, and compliant operations for mission‑critical applications. You will collaborate closely with engineering, product, and security teams to deliver scalable cloud platforms, support AI infrastructure needs, and continuously improve operational excellence through automation, observability, and governance.
- Architect, design, and manage scalable, secure, and cost‑efficient infrastructure across AWS, Azure, and GCP.
- Build, automate, and optimize CI/CD pipelines, Infrastructure‑as‑Code (IaC) workflows, and cloud‑native deployments.
- Manage Kubernetes environments including Amazon EKS, Azure AKS, and Google GKE, covering governance, RBAC, networking, and autoscaling.
- Perform infrastructure troubleshooting across compute, networking, storage, security, and platform layers.
- Implement organization‑wide DevOps practices, including observability and monitoring solutions using Prometheus, Grafana, and ELK stacks.
- Design, deploy, and manage GPU‑based and AI/ML infrastructure, including centralized Model Control Platforms (MCP) and model‑serving platforms.
- Ensure adherence to IT compliance standards, security policies, AI governance frameworks, and audit requirements.
- Collaborate with engineering, product, and security teams to deliver reliable, resilient, and scalable cloud services.
- Document cloud architectures, standard operating procedures (SOPs), and process workflows.
- Mentor and guide teams on cloud engineering, platform operations, and DevOps best practices.
- 5-8 years of professional experience in cloud infrastructure, platform engineering, and DevOps roles.
- Proven expertise in multi‑cloud architecture and platform scaling across AWS, Azure, and GCP.
- Strong hands‑on experience with cloud services including compute, storage, IAM, networking, serverless, and managed services across AWS, Azure, and GCP.
- Deep experience with DevOps and automation tools such as Terraform, GitHub, GitLab, Azure DevOps, Jenkins, Docker, Kubernetes, Helm, and GitOps practices.
- Proficiency in scripting and programming languages including Python, Bash, PowerShell, and YAML.
- Hands‑on experience managing platforms such as EKS, AKS, GKE, and implementing automated deployment pipelines.
- Experience with observability platforms and monitoring stacks.
- Strong understanding of security compliance, AI governance, risk assessments, and operational controls.
- Ability to work collaboratively with cross‑functional teams and communicate effectively in a complex enterprise environment.
Our Corporate and Global Functions play a critical role in driving Siemens Energy's strategic initiatives and ensuring operational excellence across departments, business areas, and regions. As part of this team, you will contribute to shaping the global energy transition, partner with internal and external stakeholders, and conduct business responsibly while adhering to legal and regulatory requirements.
Siemens Energy
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
- Employees are eligible for remote working arrangements up to 2 days per week.
- Opportunities to work with a distributed, global team.
- Opportunities to work on and lead a variety of innovative projects.
- Medical benefits.
- Time off, paid holidays, and parental leave.
- Continual learning through the Learn@Siemens-Energy platform.
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