Enterprise Software Architect (EMEA)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 26d ago
The date the source published, not the day we noticed it (2026-09-07). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $32k–51.9k/yr
Middle 50% of 11 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
bamboohr employer's own board first seen 2h ago · last seen 2h ago
The listing
About us
Founded in 1996, Argos Multilingual is a global provider of technology-enabled language, AI and data solutions. We combine human expertise, technology and AI to help organisations communicate, operate and grow across markets.
We work with some of the world’s most recognised companies, from global technology leaders and e-commerce innovators to major organisations in life sciences and manufacturing.
We are an international organisation with 400+ people across 42 countries. We continue to expand our capabilities in AI and data alongside our established language and localisation expertise, building on a strong foundation while embracing the opportunities created by new technology.
About the role
We are looking for a highly skilled .NET Enterprise Software Architect to spearhead the technical vision and design of our enterprise AI-driven translation platform. You will help bring together many internally developed tools into a suite of products that meet complex language localisation requirements with robust, scalable, and high-performance software.
In this role, you will lead technology teams, enforce architectural best practices, and integrate cutting-edge machine learning and Large Language Models (LLMs) into our core .NET ecosystem.
What you'll do
- Architecture & Design: Design scalable, distributed .NET systems optimized for processing massive volumes of multilingual textual and audio data.
- AI & LLM Integration: Architect secure API integrations and middleware connecting .NET workflows with translation models, LLMs, and custom NLP pipelines.
- Analyzing the existing tools used in Translation Management services and building a suite of products or a platform that could be customized for individual customer needs with minimal configuration and fine-tuning.
- Technology Leadership: Define technical standards, coding guidelines, and architectural blueprints tailored for AI-assisted localization pipelines.
- Mentorship: Provide guidance and technical mentoring to developers, conducting thorough design and code reviews to ensure quality deliverables.
Skills & experience
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Minimum 10 to 12+ years in software development, with at least 3 years in a dedicated .NET architecture role.
- Hands-on System Design experience in 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 (e.g., Azure OpenAI, Semantic Kernel) into .NET applications.
- Strong proponent of Agile process and industry-standard SDLC methodologies.
- Strong knowledge of cloud-native infrastructure (Azure/AWS), message brokers (RabbitMQ/Kafka), and managing large-scale dataset storage.
Why join us?
You'll join at an important point in our growth and transformation. We have almost 30 years of experience and an established global client base, but we're not interested in simply maintaining what we've built.
AI, data and technology are reshaping our industry, and we're responding by investing in new capabilities and new ways of working.
You'll work with colleagues across countries, cultures and time zones on work with genuinely international reach, with the scale and stability of an established global business plus real influence over how we operate and where we go next.
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