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.

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.

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.

• 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

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,…