AI Architect (Agentic AI)

Location: Barcelona, Spain

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, using AI-powered insight to support smarter decisions and faster innovation.

What you will do

• Design and implement end-to-end AI and Agentic AI architectures aligned with business objectives.
• Translate functional, analytical, and non-functional requirements into modular, scalable, efficient, and maintainable system designs.
• Define architecture patterns for AI agents, foundation models, data platforms, APIs, integration layers, orchestration, observability, security, and cloud infrastructure.
• Collaborate with data scientists, ML and software engineers, cloud specialists, security teams, architects, and business stakeholders.
• Create reference architectures, reusable components, design patterns, and technical standards for AI solution delivery.
• Guide architecture reviews, evaluate emerging technologies, and help move AI concepts from experimentation into robust enterprise-grade solutions.

Requirements

• 3–6 years of experience designing and implementing AI/ML solutions or advanced analytics architectures.
• Experience integrating AI models into production environments through APIs, microservices, or data pipelines.
• Strong understanding of AI/ML architectures and the model lifecycle, including data ingestion, training, validation, and deployment.
• Experience with Azure, AWS, or GCP AI/ML services, including Azure ML, Vertex AI, or OpenShift AI.
• Hands-on experience with MLflow, Kubeflow, Airflow, Kubernetes, and Docker.
• Knowledge of agentic AI frameworks, RAG architectures, vector databases, APIs, data privacy, GDPR, and the EU AI Act.

Nice to have

• Experience with hybrid or federated AI deployments and enterprise data integration.
• Exposure to observability and monitoring for AI workloads.
• Knowledge of semantic search, knowledge graphs, or LLM optimization pipelines.
• Experience working in agile or DevOps environments and bridging data science and engineering teams.
• Cloud architecture or MLOps certifications, and postgraduate studies in AI, Big Data, or Cloud Computing.

Culture & Benefits

• Flexible, supportive, and hybrid-friendly work environment.
• Well-being programs supporting financial, mental, physical, and social health.
• Personalized career development goals, continuous feedback, coaching, and hands-on learning.
• Access to certification and learning opportunities from Microsoft, Google, and Amazon.
• Inclusive culture focused on belonging, empathy, continuous learning, and shared success.