AI Platform Architect
Siemens Energy
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Benefits offered by this job
Job summary
Siemens Energy is seeking an AI Platform Architect to design, evaluate, and lead enterprise-scale AI platforms across a multi-cloud environment. You will define platform strategy, guide architecture decisions, and enable scalable AI adoption across business units.
The role sits at the intersection of AI architecture, cloud platform engineering, and enterprise enablement. You will work with Kubernetes platforms (EKS, AKS, GKE), model serving, and orchestration layers, ensuring secure, reliable,
Qualifications
- 8–10+ years of experience in AI platforms, cloud architecture, or platform engineering.
- Proven expertise in multi-cloud architecture and platform scaling.
- Strong experience with cloud platforms including AWS, Azure, and GCP.
- Hands-on experience with DevOps tools such as Terraform, GitHub/GitLab/Azure DevOps, Jenkins, Docker, Kubernetes, Helm, and GitOps.
Responsibilities
- Define and own enterprise AI platform architecture covering Generative AI, Agentic AI, orchestration layers, model serving, and shared AI services.
- Design scalable, secure, and reusable AI platforms across AWS, Azure, and GCP.
- Establish architectural standards for AI lifecycle management, observability, security, and governance.
- Evaluate Agentic AI platforms, frameworks, and orchestration tools, including multi-agent systems.
- Define reference architectures for agent-based workflows and AI-driven automation.
- Lead enterprise setup, onboarding, and rollout of Agentic AI platforms.
- Enable adoption through reusable patterns, best practices, and governance models.
- Collaborate with business and engineering teams to scale AI use cases from proof-of-concept to production.
- Architect and govern cloud-native AI infrastructure, including Kubernetes platforms (EKS, AKS, GKE) and GPU-based compute.
- Implement CI/CD pipelines and Infrastructure-as-Code practices using tools such as Terraform and GitOps.
- Ensure platform reliability, performance, and cost efficiency.
- Implement observability, monitoring, and operational excellence practices.
- Ensure alignment with enterprise security, compliance, and AI governance requirements.
- Define controls for data access, model usage, auditability, and risk management.
- Drive standardization across platforms, tools, and delivery frameworks.
Skills
Tools
Job description
As an AI Platform Architect, you will design, evaluate, and lead the rollout of enterprise-scale AI platforms, including Generative AI, Agentic AI, orchestration layers, and shared AI services across a multi-cloud environment. Your day will involve defining platform strategy, guiding architecture decisions, and enabling scalable adoption of AI solutions across business units. You will work at the intersection of AI architecture, cloud platform engineering, and enterprise enablement, ensuring reliable, secure, and high-performing AI platforms.
As an AI Platform Architect, you will design, evaluate, and lead the rollout of enterprise-scale AI platforms, including Generative AI, Agentic AI, orchestration layers, and shared AI services across a multi-cloud environment. Your day will involve defining platform strategy, guiding architecture decisions, and enabling scalable adoption of AI solutions across business units. You will work at the intersection of AI architecture, cloud platform engineering, and enterprise enablement, ensuring reliable, secure, and high-performing AI platforms.
- Define and own enterprise AI platform architecture covering Generative AI, Agentic AI, orchestration layers, model serving, and shared AI services.
- Design scalable, secure, and reusable AI platforms across AWS, Azure, and GCP.
- Establish architectural standards for AI lifecycle management, observability, security, and governance.
- Evaluate Agentic AI platforms, frameworks, and orchestration tools, including multi-agent systems.
- Define reference architectures for agent-based workflows and AI-driven automation.
- Lead enterprise setup, onboarding, and rollout of Agentic AI platforms.
- Enable adoption through reusable patterns, best practices, and governance models.
- Collaborate with business and engineering teams to scale AI use cases from proof-of-concept to production.
- Architect and govern cloud-native AI infrastructure, including Kubernetes platforms (EKS, AKS, GKE) and GPU-based compute.
- Implement CI/CD pipelines and Infrastructure-as-Code practices using tools such as Terraform and GitOps.
- Ensure platform reliability, performance, and cost efficiency.
- Implement observability, monitoring, and operational excellence practices.
- Ensure alignment with enterprise security, compliance, and AI governance requirements.
- Define controls for data access, model usage, auditability, and risk management.
- Drive standardization across platforms, tools, and delivery frameworks.
- 8–10+ years of experience in AI platforms, cloud architecture, or platform engineering.
- Proven expertise in multi-cloud architecture and platform scaling.
- Strong experience with cloud platforms including AWS, Azure, and GCP.
- Hands-on experience with DevOps tools such as Terraform, GitHub/GitLab/Azure DevOps, Jenkins, Docker, Kubernetes, Helm, and GitOps.
- Proficiency in programming and scripting languages including Python, Bash, PowerShell, and YAML.
- Experience with Kubernetes platforms such as EKS, AKS, and GKE.
- Expertise in observability, monitoring, and automated deployment frameworks.
- Experience with AI platform components such as Agentic AI frameworks, orchestration layers, model serving, and AI workflows.
- Strong understanding of security compliance, AI governance, risk assessments, and operational controls.
- Hands-on exposure to Agentic AI or orchestration frameworks is an advantage.
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 decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
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.
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 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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