Enterprise Software Architect – EMEA

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Argos Multilingual

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Argos Multilingual is a global language-services provider that delivers translation, localization, and multilingual content solutions combining human expertise with AI-first technology. The company offers translation and localization, multimedia services, language quality evaluation and ownership programs, content and linguistic asset management, and AI/LLM data solutions (data collection, annotation, evaluation, RLHF, and custom machine translation) through its MosAIQ suite of enterprise tools. Argos serves B2B customers across regulated and technical sectors—life sciences, medical/healthcare, technology, finance, manufacturing, and retail—focusing on accuracy, compliance, and scalable AI-enabled workflows.

📋 Description

• Design scalable, distributed .NET systems optimized for processing massive volumes of multilingual textual and audio data • Architect secure API integrations and middleware connecting .NET workflows with translation models, LLMs, and custom NLP pipelines • Analyze existing tools used in Translation Management services • Build a customizable suite of products or platform for individual customer needs with minimal configuration and fine-tuning • Define technical standards, coding guidelines, and architectural blueprints for AI-assisted localization pipelines • Lead technology teams • Provide guidance and technical mentoring to developers • Conduct thorough design and code reviews to ensure quality deliverables

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field • Minimum 10 to 12+ years in software development • At least 3 years in a dedicated .NET architecture role • Hands-on System Design experience building large, complex microservices-based solutions • Deep expertise in C#, .NET 8+, ASP.NET Core, Java, ReactJS, and asynchronous programming patterns • Proven experience integrating AI frameworks, vector databases, or cognitive services such as Azure OpenAI and Semantic Kernel into .NET applications • Strong proponent of Agile process and industry-standard SDLC methodologies • Strong knowledge of cloud-native infrastructure including Azure/AWS • Strong knowledge of message brokers including RabbitMQ/Kafka • Experience managing large-scale dataset storage