Software Architect – Generative AI & Agentic Solutions

We are Merlin Digital Partner ! A leading IT and Digital headhunting company who stands out from the crowd, boasting over a decade of experience. We've successfully collaborated and played a pivotal role in the growth of industry heavyweights such as Wallapop, Glovo, Banc Sabadell, and Duracell, among others. Our emphasis lies in people-centric approaches and optimizing the selection processes . Our mission is to revolutionize companies by seamlessly integrating top-tier talent . What sets us apart is our in-depth understanding of each partner , addressing not only their needs but also capturing their essence. The Opportunity Our partner is a leading international technology and business consultancy that helps large enterprises with their digital transformation , combining strategy, design and engineering with a practical, business-driven approach. Within its Architecture practice , the team defines the technology strategy and cloud-native platforms behind its clients' most ambitious transformation programmes. They are now growing their capability in Generative AI and agent-based solutions , and are looking for a Software Architect to lead this area. Mission As a Software Architect specialised in GenAI and Agentic solutions , your mission will be to design secure, scalable and well-governed AI solutions for enterprise environments, connecting systems, data, APIs, cloud platforms and business needs . The focus is not on years with one specific tool. What matters is a strong architecture foundation and the ability to apply it to new AI patterns , taking solutions beyond the proof of concept and into real production. You will work hand in hand with development, data, cloud, cybersecurity and business teams , acting as the technical reference in architecture discussions. Responsibilities - Designing reference architectures for GenAI and agent-based solutions , defining how models, data, APIs, tools and business processes fit together - Assessing use cases and recommending the right pattern for each one : knowledge assistants, workflow automation, tool-using agents, multi-agent systems or AI embedded in existing products - Defining how agents securely access corporate data and systems : permissions, access control, secrets management, traceability and action boundaries - Designing knowledge retrieval components ( RAG, vector indexes, context management and data quality) that deliver relevant and verifiable answers - Setting up evaluation and observability frameworks for AI solutions: output quality, flow behaviour, cost, latency , incidents and level of human intervention - Integrating AI capabilities with backend architectures, APIs, transactional systems and cloud platforms , making sure solutions are operable and maintainable in production - Creating reusable patterns, standards and technical guidelines to scale the responsible adoption of GenAI across projects and industries - Leading architecture conversations with technical and business stakeholders , identifying risks, dependencies and alternatives to turn vision into a viable implementation Requirements Essential Experience: - 6+ years in software architecture , technical design or the evolution of complex enterprise solutions - Proven experience defining distributed architectures : microservices, APIs, event-driven and asynchronous integration , containers or cloud services - Ability to translate business and user needs into architecture decisions, technical patterns and realistic roadmaps - Solid grasp of core architecture principles: scalability, resilience, security, observability, performance and governance - Backend background , ideally with Java, Spring Boot and/or Python , plus API and integration design - Recent hands-on experience (ideally 1–2 years) with Generative AI, LLMs, RAG, embeddings, vector databases or intelligent automation - Practical knowledge of agentic patterns : orchestration, context management, tool use, decision flows, API integration and human-in-the-loop - Experience with cloud platforms (AWS, Azure or GCP) and automation / Infrastructure as Code practices - Ability to technically guide development teams and work across data, cloud, security and business profiles - Based in Spain and available for a hybrid model (Bilbao preferred) Nice to Have - Familiarity with GenAI / Agentic frameworks and platforms such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Azure AI Foundry, Amazon Bedrock or Vertex AI (no need to master them all) - English level B2/C1 for international documentation and teams What We Offer - Join an elite team working where strategy meets technology - Permanent contract with annual salary and career reviews - Funded cloud certifications (AWS, Azure, GCP) and other technologies - Free access to a comprehensive internal learning platform : technical, methodology, languages and soft skills - Hybrid work and flexible hours - Intensive working day on Fridays and during summer - Corporate benefits : flexible compensation, health insurance, life and accident insurance, and more - Volunteering and social impact programmes - An award-winning, inclusive work culture that values diversity and teamwork