This role manages technical coordination between internal teams and external suppliers or subcontractors.
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87,000+ live jobsSoftware Architect - AI, LLM & NLP
Hybrid in León·Added 1 month ago (last checked 11 Oct)
Overview
Job details
Permanent contract
Per the ad.
Hybrid
Office and home days — the ad has the split.
Visa options
The ad doesn’t mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.
Requirements
Work in English
English is required, per the ad.
Be near León, Spain (Hybrid) for hybrid days
No relocation package mentioned.
Have 5+ years of experience
Mid-level role.
University degree
“Formación universitaria en Ingeniería Informática, Telecomunicaciones o titulaciones afines .” — per the ad.
Skills
This job advert was originally written in Spanish.
Requirements
What we're looking for
- At least 5 years of experience as an Artificial Intelligence Solutions Architect or in similar positions.
- University degree in Computer Engineering, Telecommunications, or related fields.
- Extensive knowledge of statistics and data extraction and analysis algorithms, including decision trees, probability networks, association rules, clustering, regression, and neural networks.
- Experience in architectures and solutions based on Building Blocks (ABB and SBB).
- Knowledge of cybersecurity and Artificial Intelligence applications in this field.
- Experience with advanced version control tools for datasets, features, and Machine Learning models, such as DVC or Feast.
- Experience with MLOps tools and methodologies.
- Experience in the design and interpretation of AI architecture diagrams.
- Experience in the development of training and inference platforms.
- Experience in the automation of model training and deployment in production.
- Technical leadership capacity and experience guiding and supporting AI engineering teams.
- Ability to conceptualize solutions and document architectures clearly and concisely.
- Ability to communicate technical concepts to different types of audiences.
- Minimum English level B2, both spoken and written.
- Analytical and problem-solving skills.
Nice to have
- A PhD will be particularly valued.
- Experience in the design of AI architectures in public, private, and hybrid cloud environments.
- Experience or certifications in NAF4 (NATO Functional Architecture).
- Certification or experience with TOGAF.
- Knowledge of Software Engineering and development best practices, including maintainable code, testing, linting, type checking, and static code analysis.
- Experience in architecture modeling using Enterprise Architect.
- Experience in projects related to cybersecurity, defense, or dual-use technologies.
- Experience in technological innovation projects at different TRL levels.
- Knowledge of emerging risks, trends, and the evolution of Artificial Intelligence technologies.
- Experience in international R&D&i projects.
Pay & benefits
What you'll get
- Stable position with a permanent contract.
- Hybrid modality in León (60% TLT).
- Participation in technological innovation and Artificial Intelligence projects.
- Work with advanced technologies related to AI, LLM, NLP, Machine Learning, and MLOps.
- Participation in projects at different levels of technological maturity (TRLs).
- Highly specialized and multidisciplinary environment.
- Professional development and growth opportunities.
- Continuous training and exposure to emerging technologies.
- Immediate start.
The role
At BEIGAR, we are looking for a Software Architect specializing in Artificial Intelligence, LLM, and NLP to join a leading company in technological innovation and cybersecurity projects.
We are looking for a profile with experience in Artificial Intelligence solution architecture, capable of conceptualizing and designing advanced solutions, providing technical guidance to engineering teams, and participating in innovation projects at different levels of technological maturity (TRLs).
The selected person will play a key role in the design of AI architectures and platforms, participating in LLM, NLP, Machine Learning, and MLOps solutions, as well as their application within the field of cybersecurity.
What you'll do
- Design Artificial Intelligence architectures and solutions oriented towards technological innovation projects.
- Define solutions based on Building Blocks (ABB and SBB) and ensure their correct application in projects.
- Design and interpret AI architecture diagrams.
- Participate in the definition and evolution of model training and inference platforms.
- Design solutions for the automation of model training and deployment in production.
- Apply MLOps methodologies and tools throughout the model lifecycle.
- Work with Machine Learning, LLM, and NLP solutions, from conceptualization to implementation.
- Provide technical guidance and support to the AI engineering team in the implementation of the defined solutions.
- Participate in technical reviews and in the preparation of architecture and design documentation.
- Conceptualize ideas and transform technical needs into clear and documented architectural solutions.
- Communicate technical concepts clearly and understandably to different audiences.
- Apply software engineering best practices to guarantee maintainable, robust, and scalable solutions.
- Maintain an updated vision of emerging trends, capabilities, and risks related to Artificial Intelligence.
How you'll work
Hybrid modality in León (60% TLT).
About Beigar
- Industry
- Staffing and Recruiting
- Website
- beigar.com
In their own words
About the company & team
We are looking for a person with solid experience in Artificial Intelligence solution architecture, capable of combining a strategic and conceptual vision with deep technical knowledge of AI, Machine Learning, LLM, NLP, and MLOps technologies.
We especially value profiles with the capacity to technically lead engineering teams, transform ideas and needs into concrete architectures and document them clearly, as well as communicate complex concepts understandably to different audiences.
The selected person will join a highly specialized environment, participating in technological innovation and cybersecurity projects, working with advanced AI architectures and emerging technologies, and contributing to the development of solutions from the early conceptualization phases through to their implementation and evolution.
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