We are looking for a hands-on Agentic AI / ML Architect to design and build AI agent-based solutions for our
projects and our clients. This is not a purely advisory role: you will define
the architecture and also be part of the team that builds it, from the first
prototype to production.
• Design 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
• Design end-to-end
architectures, from data ingestion to automated actions
• Define agent
responsibilities, boundaries, autonomy levels and interaction models (single
vs. multi-agent)
• Implement safe execution
mechanisms: guardrails, approvals, policy enforcement and rollback
• 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, and help assess and prioritize use cases
• Share knowledge and good
practices with the team while working on the same projects
Requirements
• 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
• Recent experience (last
1–2 years) building and taking to production solutions with LLMs, RAG or AI
agents
• Good understanding of
agentic concepts: LLM-based reasoning and planning, tool-using agents and
multi-agent coordination
• Good coding skills
(Python) and familiarity with cloud-native architectures and AI/ML platforms
• Good communication
skills, comfortable talking to clients and explaining technical topics to
non-technical people
• Experience in regulated
environments (banking, insurance, energy...) and AI governance or risk
management
• Knowledge of LLMOps /
MLOps practices
• Experience with AIOps
platforms
• Knowledge of the telecom
world (OSS, 5G, O-RAN...)
• Experience in
consulting, pre-sales or RFPs
• Certifications or
training in cloud architecture or AI/ML
Benefits
- Competitive salary, Health insurance and Flexible Compensation Plan as an enterprise benefit
- Annual training budget to 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 are Cutting-edge in technology and 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).
- Our employee satisfaction survey tell us that we have a great work environment and great professionals in the company. Do you want to check it out? Join us!
Skills Required
- 6+ years of hands-on experience in data engineering, machine learning, or AI engineering
- Strong knowledge of machine learning and experience designing and deploying AI/ML systems
- Experience working with large data volumes, ideally in streaming or real-time environments
- Recent experience building and deploying production solutions using LLMs, RAG, or AI agents
- Understanding of agentic concepts, including LLM reasoning and planning, tool-using agents, and multi-agent coordination
- Good Python coding skills
- Familiarity with cloud-native architectures and AI/ML platforms
- Strong communication skills and ability to explain technical topics to non-technical clients
- Experience in regulated environments and AI governance or risk management
- Knowledge of LLMOps or MLOps practices
- Experience with AIOps platforms
- Knowledge of telecom technologies such as OSS, 5G, or O-RAN
- Experience in consulting, pre-sales, or RFPs
- Cloud architecture or AI/ML certifications or training
What We Do
Future Connections is a telecommunications technology company that develops AI-based, multi-technology solutions for operators and service providers. Its offerings address customer experience, network assurance, radio-access-network (RAN) optimization, automation, and analytics. The company combines network data, cloud infrastructure, software, and intelligent automation to improve operational efficiency, reduce costs, monitor performance, and support more autonomous management across complex, multi-vendor telecom environments for operators worldwide.







