Cloud & Ai Platform Architect

Crif; Parma; In loco; EUR 33.000 - 41.000; Tempo pieno

Descrizione del lavoro

CRIF is seeking an AI Platform Architect in Parma to lead the design and evolution of enterprise AI platforms, enabling scalable, secure, and production-ready AI across multiple domains.

The role focuses on Generative AI technologies (RAG, Agentic AI, Multi-Agent Systems, MCP) and leverages platforms like AWS Bedrock and Azure AI Foundry. You will define reference architectures, governance, observability, and operational frameworks while driving adoption and standards.

Competenze

• Proven experience designing and delivering AI-based solutions in production environments.
• Hands-on experience with Generative AI platforms such as Azure AI Foundry, AWS Bedrock, or equivalent AI ecosystems.
• Strong experience implementing and operating RAG architectures in enterprise contexts.
• Experience designing and deploying Agentic AI systems with orchestration patterns and multi-agent workflows.
• Knowledge of MCP or equivalent agent integration patterns.
• Experience with cloud-native architectures on AWS and/or Azure.
• Strong understanding of platform reliability, security, scalability, and operational excellence.

Mansioni

• Lead the design and industrialization of Generative AI and Agentic AI solutions from prototype to production.
• Deliver enterprise-scale RAG, Agentic, Multi-Agent, and MCP-based architectures.
• Explore and integrate emerging AI technologies into the enterprise AI ecosystem.
• Build reusable AI patterns, accelerators, and platform capabilities for rapid adoption.
• Define standards for AI engineering, observability, governance, and security.
• Collaborate with data, software, cloud, and business teams to productionize AI use cases.
• Drive continuous experimentation while ensuring enterprise-grade quality and compliance.
• Mentor teams and promote best practices around modern AI architectures.

Conoscenze

Generative AI

RAG

Agentic AI

Multi-Agent

MCP

Strumenti

Azure AI Foundry

AWS Bedrock

Terraform

Python

CI/CD

Descrizione del lavoro

The AI Platform Architect is responsible for designing and leading the evolution of enterprise AI platforms, enabling the delivery of scalable, secure, and production-ready AI solutions across multiple business domains. The role focuses on Generative AI technologies, including RAG, Agentic AI, Multi-Agent Systems, and MCP-based architectures, leveraging platforms such as AWS Bedrock, Azure AI Foundry, and other emerging AI ecosystems. The architect defines reference architectures, governance standards, observability practices, and operational frameworks, while continuously exploring new technologies and transforming innovative AI concepts into enterprise-grade capabilities.

Key Responsibilities

• Lead the design and industrialization of Generative AI and Agentic AI solutions from prototype to production.
• Deliver enterprise-scale RAG, Agentic, Multi-Agent, and MCP-based architectures.
• Explore, evaluate, and integrate emerging AI technologies, frameworks, and foundation models into the enterprise AI ecosystem.
• Build reusable AI patterns, accelerators, and platform capabilities that enable rapid adoption across multiple business domains.
• Define standards for AI engineering, observability, evaluation, governance, security, and reliability.
• Work closely with data, software, cloud, and business teams to transform AI use cases into production services.
• Drive continuous experimentation and innovation while maintaining enterprise-grade quality, security, and compliance standards.
• Mentor teams and promote best practices around modern AI architectures, cloud-native platforms, and operational AI.

Required Skills

• Proven experience designing and delivering AI-based solutions in production environments.
• Hands-on experience with Generative AI platforms such as Azure AI Foundry, AWS Bedrock, or equivalent AI ecosystems.
• Strong experience implementing and operating RAG (Retrieval-Augmented Generation) architectures in enterprise contexts.
• Experience designing and deploying Agentic AI systems, including orchestration patterns, tool usage, and multi-agent workflows.
• Knowledge and practical adoption of Model Context Protocol (MCP) or equivalent agent integration patterns.
• Experience with cloud-native architectures on AWS and/or Azure.
• Strong understanding of platform reliability, security, scalability, and operational excellence.

Preferred Skills

• Terraform
• Python
• CI/CD and DevOps practices
• AI Observability and monitoring solutions
• LLMOps and AI platform operations
• Responsible AI, AI Governance, and AI Risk Management
• Knowledge of the EU AI Act and related regulatory frameworks
• Experience with evaluation frameworks for LLMs, agents, and GenAI applications
• Vector databases, semantic search, and knowledge retrieval platforms

Success Measures

• Delivery of enterprise-scale AI solutions that successfully reach production.
• Adoption of AI capabilities across multiple business domains and markets.
• Secure, scalable, observable, and compliant AI platforms and architectures.
• Creation of reusable AI assets, patterns, and accelerators that increase delivery speed.
• Continuous innovation through the evaluation and adoption of emerging AI technologies.
• Strong governance and Responsible AI practices embedded across the AI lifecycle.

We offer a safe and inclusive environment where colleagues are encouraged to think outside the box. CRIF is committed to creating a diverse, inclusive work environment and promoting equal opportunities throughout the employee life cycle. We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity

What we offer:

Type of contract: permanent

The Annual Salary for this position starts from €37,000 gross per year.

The level of classification will be determined during the selection process based on the candidate's profile and in accordance with the National Collective Labour Agreement (CCNL) for the Tertiary, Distribution and Services sector. The final compensation package, including any variable components (such as MBO) or additional benefits