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