Ai Service Delivery & Agentic Manager

pstrongRole Overview /strong /ppbr / /ppThe strongAI Delivery Agentic Platform Manager /strong 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. /ppThe 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 /ppbr / /ppstrongKey Responsibilities /strong /pulliGovern and oversee the full lifecycle of AI initiatives, from use case assessment and solution design to deployment and operational support. /liliOwn and maintain the AI delivery roadmap, ensuring visibility, prioritization, dependency management, and risk mitigation across all AI initiatives. /liliDefine and enforce architectural standards, reference architectures, and delivery patterns for Generative AI, RAG, Agentic AI, Multi-Agent, and MCP-based solutions. /liliProvide technical guidance and coaching to development teams during solution design, implementation, testing, and production rollout. /liliEnsure AI solutions comply with enterprise requirements for security, scalability, resilience, observability, and operational readiness. /liliReview AI architectures and implementation approaches, identifying technical risks and improvement opportunities before production deployment. /liliCoordinate with platform, cloud, security, data, and operations teams to guarantee successful delivery and service adoption. /liliEstablish development guidelines, engineering best practices, and quality controls for AI applications and services. /liliDrive production readiness activities, including monitoring, evaluation, observability, incident management, support processes, and operational governance. /liliPromote the adoption of reusable AI assets, accelerators, frameworks, and best practices across multiple teams and business domains. /liliContinuously evaluate emerging AI technologies, models, frameworks, and agentic patterns, driving innovation while maintaining enterprise-grade quality standards. /li /ulpbr / /ppstrongRequirements /strong /pulliProven experience delivering AI or Generative AI solutions in enterprise production environments. /liliStrong understanding of RAG architectures, Agentic AI systems, Multi-Agent frameworks, and MCP-based integrations. /liliExperience with AI ecosystems such as Azure AI Foundry, AWS Bedrock, Databricks, or equivalent platforms. /liliExperience governing software delivery, architecture reviews, and production readiness processes. /liliStrong knowledge of cloud-native architectures, deployment models, operational support, and observability practices. /liliExcellent stakeholder management and ability to coordinate cross-functional teams. /liliExperience balancing innovation and experimentation with enterprise governance, security, and operational requirements. /li /ulpbr / /ppstrongPreferred Skills /strong /ppbr / /pulliKubernetes (K8s) /liliTerraform /liliPython /liliAI Observability platforms /liliLLMOps and AI Operations /liliEvaluation frameworks for AI and Agentic applications /liliVector databases and semantic search technologies /liliResponsible AI and AI Governance /liliEU AI Act and AI compliance frameworks /liliExperience building reusable AI platforms and shared AI services /li /ulpbr / /ppstrongSuccess Measures /strong /ppbr / /pulliSuccessful delivery of AI solutions from concept to production with measurable business adoption. /liliConsistent adoption of enterprise AI architecture and development standards across teams. /liliHigh-quality, secure, scalable, and observable AI services operating in production. /liliReduction of delivery risks through effective governance, architectural guidance, and production readiness reviews. /liliCreation and adoption of reusable AI patterns, frameworks, and accelerators. /liliSuccessful deployment of RAG, Agentic, Multi-Agent, and MCP-based solutions across multiple business domains. /liliStrong collaboration between business, engineering, security, and operations teams throughout the AI delivery lifecycle. /liliContinuous improvement and adoption of emerging AI capabilities that create business value. /li /ulpWe 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 /ppWhat we offer: /ppType of contract: permanent /ppThe Annual Salary for this position starts from €50,000 gross per year. /ppThe 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 /ppbr / /p