pb Role Overview /bp Di seguito, troverà un'analisi completa di tutti i requisiti per i potenziali candidati e le istruzioni su come candidarsi. In bocca al lupo!brp The b AI Delivery Agentic Platform Manager /b is responsible for governing and driving the end-to-end delivery of Generative AI solutions across the organization, from ideation and architecture through development, production deployment, and operational excellence. /pp The role combines strong technical expertise in AI technologies, including RAG, Agentic AI, Multi-Agent Systems, and MCP-based architectures, with delivery leadership and governance responsibilities /p pb Key Responsibilities /b /pulli Govern and oversee the full lifecycle of AI initiatives, from use case assessment and solution design to deployment and operational support. /lili Own and maintain the AI delivery roadmap, ensuring visibility, prioritization, dependency management, and risk mitigation across all AI initiatives. /lili Define and enforce architectural standards, reference architectures, and delivery patterns for Generative AI, RAG, Agentic AI, Multi-Agent, and MCP-based solutions. /lili Provide technical guidance and coaching to development teams during solution design, implementation, testing, and production rollout. /lili Ensure AI solutions comply with enterprise requirements for security, scalability, resilience, observability, and operational readiness. /lili Review AI architectures and implementation approaches, identifying technical risks and improvement opportunities before production deployment. /lili Coordinate with platform, cloud, security, data, and operations teams to guarantee successful delivery and service adoption. /lili Establish development guidelines, engineering best practices, and quality controls for AI applications and services. /lili Drive production readiness activities, including monitoring, evaluation, observability,



incident management, support processes, and operational governance. /lili Promote the adoption of reusable AI assets, accelerators, frameworks, and best practices across multiple teams and business domains. /lili Continuously evaluate emerging AI technologies, models, frameworks, and agentic patterns, driving innovation while maintaining enterprise-grade quality standards. /li /ul pb Requirements /b /pulli Proven experience delivering AI or Generative AI solutions in enterprise production environments. /lili Strong understanding of RAG architectures, Agentic AI systems, Multi-Agent frameworks, and MCP-based integrations. /lili Experience with AI ecosystems such as Azure AI Foundry, AWS Bedrock, Databricks, or equivalent platforms. /lili Experience governing software delivery, architecture reviews, and production readiness processes. /lili Strong knowledge of cloud-native architectures, deployment models, operational support, and observability practices. /lili Excellent stakeholder management and ability to coordinate cross-functional teams. /lili Experience balancing innovation and experimentation with enterprise governance, security, and operational requirements. /li /ul pb Preferred Skills /b /p ulli Kubernetes (K8s)



/lili Terraform /lili Python /lili AI Observability platforms /lili LLMOps and AI Operations /lili Evaluation frameworks for AI and Agentic applications /lili Vector databases and semantic search technologies /lili Responsible AI and AI Governance /lili EU AI Act and AI compliance frameworks /lili Experience building reusable AI platforms and shared AI services /li /ul pb Success Measures /b /p ulli Successful delivery of AI solutions from concept to production with measurable business adoption. /lili Consistent adoption of enterprise AI architecture and development standards across teams. /lili High-quality, secure, scalable, and observable AI services operating in production. /lili Reduction of delivery risks through effective governance, architectural guidance, and production readiness reviews. /lili Creation and adoption of reusable AI patterns, frameworks, and accelerators. /lili Successful deployment of RAG, Agentic, Multi-Agent, and MCP-based solutions across multiple business domains. /lili Strong collaboration between business, engineering, security, and operations teams throughout the AI delivery lifecycle. /lili Continuous improvement and adoption of emerging AI capabilities that create business value. /li /ulp 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 /pp What we offer: /pp Type of contract: permanent /pp The Annual Salary for this position starts from €50,000 gross per year. xrdbqlu /pp 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 /p /p /p

📌 AI Service Delivery & Agentic Manager (Reggio Emilia)
🏢 Crif
📍 Reggio Emilia