Enterprise GenAI Architect - Scalable AI Systems & Strategy

ams OSRAM; Carnaxide; On-site; EUR 90,000 - 150,000; Full time

Job summary

ams OSRAM is seeking a Senior AI & Generative AI Architect to define, design, and evolve secure and scalable enterprise AI architectures. You will set architectural standards, reusable patterns, and foundations to bring AI solutions into production across Generative AI, AI Agents, RAG, and semantic search.

The role requires leadership in shaping the technology landscape, collaboration with AI, data, and software engineering teams, and a strong focus on security, governance, and cost management.

Qualifications

• Master’s degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Engineering or a related field.
• Several years of experience designing enterprise-scale cloud, data, and AI architectures in complex organizations.
• Strong knowledge of the Microsoft Azure and AI ecosystem, including Microsoft Foundry, Azure OpenAI, Azure AI services, Microsoft 365 Copilot, Copilot Studio, Power Platform, and Microsoft Fabric.
• Knowledge of modern enterprise data platforms and architectures, including Snowflake, Azure Databricks, and enterprise integration patterns.
• Strong understanding of Generative AI and LLM architectures, including AI Agents, RAG, vector and semantic search, tool calling, model orchestration, and AI governance.
• Experience defining non-functional requirements, including identity, privacy, observability, resilience, performance, scalability, and cost management.
• Engineering experience with Python and/or JavaScript/TypeScript, providing the technical depth required to bridge architecture and implementation.
• Excellent communication and stakeholder-management skills, with the ability to translate complex technical concepts into clear architectural decisions and guidance.

Responsibilities

• Define and evolve the enterprise AI architecture and technology roadmap, ensuring alignment with business strategy, enterprise architecture, data, security, and governance
• Establish and maintain AI reference architectures, reusable building blocks, technology standards, architectural principles, and design patterns to accelerate and standardize AI adoption
• Define architectures for Generative AI and agentic applications, including LLM orchestration, AI agents, RAG, enterprise search, vector and semantic search, tool integration, and multi-agent patterns
• Shape the enterprise AI and data technology landscape across Microsoft Foundry, Azure OpenAI, Azure AI Services/Cognitive Services, Azure Databricks, Snowflake, and other platforms, ensuring scalable integration across enterprise systems
• Define security, identity, data protection, Responsible AI, governance, observability, scalability, resilience, performance, and cost-management principles as integral elements of the AI Architecture
• Lead architecture and design reviews, guiding AI, data, and software engineering teams from solution design through production and ensuring alignment with established architecture standards and reference designs
• Evaluate emerging AI technologies, models, platforms, and architectural approaches, providing strategic recommendations and evolving the enterprise AI architecture accordingly

Skills

AI Architecture

Generative AI

LLM orchestration

Python

JavaScript/TypeScript

Stakeholder management

Communication

Cloud architecture

Education

Master’s degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Engineering or a related field

Tools

Azure

Azure OpenAI

Azure AI Services

Microsoft Foundry

Power Platform

Copilot Studio

Azure Databricks

Snowflake

Job description

ams OSRAM is seeking a Senior AI & Generative AI Architect to define, design, and evolve secure and scalable enterprise AI architectures. You will set architectural standards, reusable patterns, and foundations to bring AI solutions into production across Generative AI, AI Agents, RAG, and semantic search.

The role requires leadership in shaping the technology landscape, collaboration with AI, data, and software engineering teams, and a strong focus on security, governance, and cost management.