GenAI Solutions Architect — Lead Production AI in the Cloud

Siemens Energy; Amadora; Hybrid; EUR 90,000 - 125,000; Full time

Benefits offered by this job

Flexible and hybrid working

Continual professional development

International collaboration

Learning opportunities

Competitive local benefits

Work with innovative technologies

Job summary

Siemens Energy is seeking a hands-on technical leader to drive the design, development, and deployment of production-grade Generative AI solutions across enterprise and industrial domains. You will translate complex business needs into scalable AI architectures on cloud platforms, guiding teams from proof-of-concept to production.

You will mentor engineers, collaborate with product managers, and ensure solutions meet security, reliability, and performance standards across AI workloads.

Qualifications

• Master's degree in Computer Science, Engineering, or related technical field.
• 8+ years of experience in software engineering, data science, with at least 4 years in AI roles.
• Proficiency in Python and modern AI/ML frameworks.
• Hands-on with RAG, multi-agent and graph-based AI architectures.
• Experience with Azure OpenAI and AWS SageMaker.
• Strong MLOps knowledge (MLflow, Kubeflow).
• OpenShift DevOps experience is a plus.
• API design experience using FastAPI.

Responsibilities

• Lead end-to-end architecture and implementation of Generative AI solutions from ideation to production.
• Design scalable, cloud-based architectures for AI workloads.
• Develop RAG frameworks and multi-agent systems.
• Provide technical leadership and mentorship to engineering teams.
• Collaborate with product managers to define requirements and milestones.
• Ensure enterprise security, reliability, and performance.
• Identify and mitigate risks for smooth production releases.
• Drive MLOps adoption for model lifecycle management.

Skills

Python

RAG frameworks

Multi-agent architectures

Graph-based AI

Azure OpenAI

AWS SageMaker

MLflow

Kubeflow

OpenShift

FastAPI

SQL/NoSQL/Vector DBs

Stakeholder communication

Education

Master’s degree in Computer Science or Engineering

8+ years software engineering / data science

4+ years in AI roles

Tools

OpenShift

Job description

Siemens Energy is seeking a hands-on technical leader to drive the design, development, and deployment of production-grade Generative AI solutions across enterprise and industrial domains. You will translate complex business needs into scalable AI architectures on cloud platforms, guiding teams from proof-of-concept to production.

You will mentor engineers, collaborate with product managers, and ensure solutions meet security, reliability, and performance standards across AI workloads.