Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Developer Senior Full Time
Location: Anywhere within Spain - Spain
Position Summary
We are looking for a hands-on Agentic AI Architect to define and build AI agent-based solutions for our projects and our clients. You will spend most of your time designing and guiding, and the rest building: you will define the architecture and also help the team to build it, from the first prototype to production.
You will lead our AI line within the company. You will work side by side with our engineering and project teams, who bring deep knowledge of the telecom domain, and together you will decide how to apply AI to our sector and our projects. You will also help our sales and project teams to shape offers, take part in client conversations and explain your technical decisions in a clear way. Telecom experience is not required: you will learn the domain with a team that knows it very well.
What You'll Work On
- Define how we apply AI to the telecom sector: assess and prioritize use cases and support proposals and RFPs
- Design end-to-end architectures, from data ingestion to automated actions
- Define agent responsibilities, boundaries, autonomy levels and interaction models (single vs. multi-agent)
- Design safe execution mechanisms: guardrails, approvals, policy enforcement and rollback
- Build and implement solutions based on LLMs and AI agents, from architecture to working code
- Build RAG-based knowledge systems using internal documentation, procedures and operational data
- Work with streaming and real-time data pipelines at high volumes
- Set up how we evaluate, monitor and improve AI solutions in production
- Take part in client meetings and technical workshops
- Share knowledge and good practices with the team while working on the same projects
Requirements
- 6+ years of experience in data engineering, ML or AI engineering, including experience as a technical reference or architect in projects
- Recent experience (last 1-2 years) taking to production solutions with LLMs, RAG or AI agents
- Practical experience with at least one agent framework (LangChain, LangGraph or similar), tool/function calling and vector databases
- Strong knowledge of machine learning and solid experience designing and deploying AI/ML systems
- Experience working with large data volumes, ideally in streaming or real-time environments
- Good coding skills (Python) and familiarity with cloud-native architectures and AI/ML platforms
- Strong communication skills: comfortable talking to clients, presenting ideas and explaining technical topics to non-technical people
Nice to Have
- Experience in consulting, pre-sales or RFPs
- Experience in sectors with large data volumes and high regulation (banking, insurance, energy...)
- Knowledge of LLMOps / MLOps practices
- Experience with AIOps platforms
- Knowledge of the telecom world (OSS, 5G, O-RAN...)
- AI governance or risk management
- Certifications or training in cloud architecture or AI/ML
Benefits
-
Competitive salary,Health insuranceand Flexible Compensation Planas an enterprise benefit
-
Annual training budgetto help you stay technologically up to date and grow professionally.
-
Time flexibility:our life is not just a working day; we give you flexibility both in entry and exit. In addition, we enjoy a reduced working day on Fridays and Summer (July and August).
- Our projects areCutting-edgein technologyand are in both national and international environments, making your growth global.
- We are committed to a flexible working model:hybrid, remote or office-based,you can choose what best suits your personal and professional needs (within Spain).
- Ouremployee satisfactionsurvey tell us that we have a great work environment and great professionals in the company. Do you want to check it out? Join us!
Details
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Keep looking
Similar remote roles, still open
- C 4h ago
- C 4h ago
- C 4h ago
- C 4h ago
See every "AI Architect" role →
Get new “AI Architect” roles by email
One email a day with what is new in "AI Architect". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Or follow the daily Telegram channel for the best new remote roles every morning.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 12 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.