AI Architect Consultant
Minsait
Job Overview
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Job Description
AI Architect – Consultant at Minsait
Indra Group – Tech for the future
We drive digital transformation with real impact thanks to advanced technology, sectoral knowledge, and global talent.
Join our Artificial Intelligence and GenAI Team
Being part of the AI area means participating in the design of artificial and generative intelligence solutions applied to real business cases, working alongside senior profiles in demanding and continuously evolving technological environments. Here, architecture, LLMs, and RAG solutions combine to create useful, responsible, and scalable AI systems for large organizations and strategic sectors. We are looking for profiles with a solid technical foundation, technological curiosity, and learning ability, who wish to evolve towards AI architecture roles with an end-to-end vision.
What will you do as an AI Architect – Consultant?
You will join AI and GenAI projects, participating in the design and implementation of intelligent solution architectures alongside multidisciplinary data, cloud, and DevOps teams. You will contribute to the development of applications based on LLMs, RAG architectures, and conversational flows, ensuring their correct integration within the client's technological ecosystem.
Your responsibilities will include:
- Participate in the end-to-end design of AI and GenAI solution architectures, collaborating with senior profiles in technical definition.
- Contribute to the definition of RAG/LLM architectures: ingestion, chunking, embeddings, retrieval, and evaluation.
- Implement and validate components of LLM-based applications and APIs.
- Apply good AI governance practices: prompt engineering, model lifecycle, quota management, and controlled experimentation.
- Identify risks associated with AI use (quality, biases, privacy) and escalate critical aspects.
- Collaborate with DevOps, data, and cloud teams for the integration of AI solutions.
- Provide support in maintenance and evolution activities of deployed solutions.
What are we looking for in you?
Essential Skills
- Solid knowledge in AI, Machine Learning, and NLP fundamentals applied to real cases.
- Proficiency in Python for development, code comprehension, and review.
- Practical knowledge of RAG architectures and LLM usage.
- Basic experience in designing and consuming REST APIs.
- Clear technical communication ability and orientation towards continuous learning.
- Initial knowledge of MLOps / LLMOps and model deployment.
Desirable Skills
- Initial experience with agent architectures or complex conversational flows.
- Knowledge of Responsible AI principles and good governance practices.
- Previous experience in cloud projects or regulated environments.
Essential Technological Experience
- Languages: Python and SQL.
- AI Frameworks: LangChain / LangGraph or similar (Microsoft Agent Framework, Google ADK, AWS Strands / AgentCore).
- Databases: SQL and notions of NoSQL or vector databases.
- Cloud: experience in Azure, AWS, GCP or IBM Cloud, and Infrastructure as Code (Terraform, Pulumi).
- Containers: Docker.
- Version control with Git and basic CI/CD pipelines.
What we offer
- Stability and projection in a company with over 50,000 professionals.
- Participation in real AI and GenAI projects with business impact.
- Collaborative, close, and learning-oriented environment.
- Real flexibility and work-life balance.
- Professional development plan towards roles of greater technical responsibility.
- Continuous training: access to Open University and Udemy for Business.
- Exclusive benefits and flexible compensation plans.
- Competitive remuneration in line with experience.
Our Commitment
We promote an inclusive work environment, based on respect, equal opportunities, and diversity, free from any type of discrimination.
Indra is Top Employer 2026!
Join one of the best employer companies in Spain and grow professionally in the field of Artificial Intelligence and GenAI.
Key skills/competency
- AI Architect
- Generative AI
- LLM
- RAG
- Python
- Machine Learning
- NLP
- DevOps
- Cloud
- APIs
How to Get Hired at Minsait
- Tailor your resume: Highlight AI, GenAI, LLM, RAG, Python, and cloud skills.
- Showcase your projects: Detail your experience with intelligent architectures and real-world applications.
- Prepare for technical questions: Be ready to discuss AI fundamentals, ML, NLP, and MLOps.
- Demonstrate communication: Practice explaining complex technical concepts clearly and concisely.
- Research Minsait's impact: Understand their digital transformation initiatives and AI solutions.
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