Experience:

• 8–10+ years of experience in AI platforms, cloud architecture, or platform engineering
• Proven expertise in multi-cloud architecture and platform scaling

Responsibilities:

• Define and own enterprise AI platform architecture including 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 and GPU-based compute
• Implement CI/CD pipelines and Infrastructure-as-Code practices
• 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

Nice to have:

• Hands-on exposure to Agentic AI or orchestration frameworks

More skills:

Terraform, GitHub, GitLab, Azure DevOps, Jenkins, Docker, Helm, GitOps, Python, Bash, PowerShell, YAML, observability, monitoring, CI/CD, Infrastructure-as-Code, security compliance, AI governance, risk assessments, operational controls

Other:

• Employees 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
• Siemens Energy is committed to diversity and inclusion with over 130 nationalities in the workforce
• Company has nearly 100,000 employees worldwide and a 150-year legacy of innovation