AI & Data Solution Architect (Generative AI)

TL;DR

AI & Data Solution Architect (Generative AI): Designing and implementing cloud-native data architectures and AI-driven enterprise solutions, including generative and agentic AI, with an accent on scalable, secure, and compliant architectures. Focus on integrating AI services into enterprise workflows, establishing MLOps and AI governance, and delivering end-to-end initiatives across large organizations.

Location: Milan, Italy (Office)

Company

hirify.global delivers and reimagines mission-critical technology systems for leading businesses.

What you will do

• Define and implement modern data architectures using cloud-native technologies, data lakes, and real-time streaming/event-driven platforms.
• Design generative and agentic AI solutions integrated with enterprise workflows.
• Set best practices for MLOps, AI governance, and model lifecycle management for reliability and compliance.
• Collaborate with cross-functional teams to deliver large-scale AI and data initiatives and drive organizational adoption.
• Evaluate emerging AI and data technologies and trends to support AI/data transformation.

Requirements

• Proven experience designing cloud-native AI and data architectures (AWS, Azure, GCP).
• Strong expertise in generative AI, agentic AI, LLMs, and orchestration frameworks.
• In-depth knowledge of MLOps, AI governance, and model deployment at scale.
• Solid understanding of data platforms, including data lakes, real-time streaming, and event-driven architectures.
• Ability to define integration patterns between AI services and enterprise applications.

Nice to have

• Hands-on experience with AI orchestration tools and agent frameworks.
• Exposure to vector databases, semantic search, and retrieval-augmented generation (RAG).
• Experience leading cross-functional teams and driving innovation initiatives.

Culture & Benefits

• Hybrid-friendly work environment with a focus on well-being.
• Be Well programs supporting financial, mental, physical, and social health.
• Access to continuous learning, certifications (Microsoft, Google, Amazon), coaching, and hands-on experiences.
• Culture emphasizing empathy, restless learning, and shared success.

Hiring process

• Application process with an option to use an employee referral.