(Senior) AI & Data Architect (all Genders)

Porsche; Ludwigsburg; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading automotive company in Ludwigsburg is seeking a (Senior) AI & Data Architect to design innovative AI solutions and cloud architectures. The ideal candidate has at least 5 years of experience and expertise in technologies like AWS, Azure, and GCP, with responsibilities including AI consulting, architecture development, and team mentoring. The role provides flexibility for remote work and opportunities for professional growth.

Leistungen

Supportive work environment

Creative freedom

Flexible working conditions

Opportunities for professional growth

Qualifikationen

• At least 5 years of experience in designing and implementing Data & AI architectures.
• Passion for developing innovative AI solutions and mentoring teams.
• Pragmatic mindset and strong analytical skills.

Aufgaben

• Advise clients on AI-native architectures in cloud environments.
• Design and implement end-to-end AI and Data architectures.
• Develop and optimize AI pipelines and MLOps workflows.
• Ensure compliance and data security through governance frameworks.
• Mentor teams and drive adoption of AI architecture best practices.

Kenntnisse

Cloud technologies (AWS, Azure, GCP)

AI/ML models

MLOps

Data pipelines (e.g., Spark, Kafka)

Analytical thinking

Solution-oriented approach

Fluent English

Ausbildung

Degree in Computer Science, Data Science, or Artificial Intelligence

Jobbeschreibung

(Senior) AI & Data Architect (all Genders)

Completed studies in Computer Science, Data Science, Artificial Intelligence, or a related field, with at least 5 years of experience in designing and implementing Data & AI architectures. Passion for developing innovative AI solutions, driving digital transformation and mentoring teams.

Expertise in cloud technologies (AWS, Azure, GCP), AI/ML models, MLOps, data pipelines (e.g., Spark, Kafka), and modern architecture patterns such as Data Mesh and Lakehouse. Your working method is characterized by a pragmatic mindset, strong analytical thinking, and a structured, solution‑oriented approach to complex technical challenges. Fluent in English (German is a plus). Flexibility and willingness to travel.

Tasks

• AI & Cloud Architecture Consulting: Advise clients on the design and integration of AI-native architectures within cloud environments (Azure, AWS) while evaluating and selecting suitable AI technologies and frameworks, ensuring scalability, performance, and alignment with enterprise strategy.
• Architecture Development: Design and implement end‑to‑end AI and Data architectures – from data ingestion to inference – including Lakehouse, Data Mesh, and agentic patterns, and build scalable GenAI infrastructures that enable LLMs and intelligent agent ecosystems.
• Pipeline & MLOps Engineering: Develop and optimize AI pipelines and deployment workflows, collaborating with data scientists and AI engineers to ensure efficient model lifecycle management, versioning, observability, and continuous delivery of AI systems in production.
• Governance & IT Security: Ensure compliance, data quality, and security through robust AI governance frameworks and technical implementation of protection measures.
• Mentoring & Team Development: Empower teams through technical mentoring and drive the adoption of AI architecture best practices across projects and domains.

Qualifications

• Completed studies in Computer Science, Data Science, Artificial Intelligence, or a related field, with at least 5 years of experience in designing and implementing Data & AI architectures.
• Passion for developing innovative AI solutions, driving digital transformation and mentoring teams.
• Expertise in cloud technologies (AWS, Azure, GCP), AI/ML models, MLOps, data pipelines (e.g., Spark, Kafka), and modern architecture patterns (e.g., Data Mesh, Lakehouse).
• Pragmatic mindset, strong analytical thinking, and a structured, solution‑oriented approach to complex technical challenges.
• Fluent in English (German is a plus). Flexibility & willingness to travel.

Benefits

• We support and appreciate colleagues as they are and celebrate our successes together.
• We always welcome creativity and new impulses.
• Depending on the project, you can work at home, in the office, or on‑site with the customer.
• With us, you have the opportunity to grow in your tasks, your know‑how, and in responsibility.