# Arquiteto Sênior | Agentic AI / Machine Learning **Empresa:** Kstack **Local:** SP **Modalidade:** Híbrido **Contrato:** CLT **Publicada em:** 2026-10-09 ## Descrição We are seeking a highly experienced Senior Architect specializing in Agentic AI and Machine Learning to design, guide, and govern scalable Machine Learning solutions using Azure Machine Learning. Position Overview Experience: 12–16 yearsWork Model: HybridShift: Day shiftRequired Skills: Machine Learning, Azure, Azure Machine LearningPreferred Domain Experience: Distributed Order ManagementTechnology: Custom ServiceRole Classification: Senior Architect – Technology [45TC00]Required Certification: Microsoft Certified: Azure AI Engineer Associate or an equivalent cloud certification focused on Machine Learning Key Responsibilities Define end-to-end Machine Learning solution architectures aligned with enterprise standards, leveraging Azure Machine Learning services to deliver reliable, reusable components that can scale with business growth. Design data pipelines and feature engineering workflows to prepare high-quality training and inference datasets, integrating structured and unstructured data from multiple enterprise systems. Implement robust MLOps practices in Azure Machine Learning, automating model training, validation, deployment, and monitoring to ensure consistent performance and rapid iteration cycles. Partner closely with Data Scientists, Data Engineers, and application teams to transition experimental models into secure, efficient, production-ready services that meet latency, accuracy, and resiliency requirements. Establish standards and guardrails for model governance, including versioning, audit readiness, ethical-use considerations, and ongoing risk assessment across Machine Learning solutions. Optimize compute, storage, and networking choices within Azure Machine Learning to balance performance, reliability, sustainability, and cost efficiency for batch and real-time workloads. Guide teams on best practices for experimentation, feature utilization, model explainability, and drift detection to improve trust and transparency for business stakeholders. Document reference architectures, technical decision records, and reusable blueprints that enable project teams to accelerate new Machine Learning initiatives while maintaining architectural consistency. Partner with Product Owners and Business Analysts to translate strategic objectives into Machine Learning roadmaps that prioritize high-value use cases and measurable business outcomes. Evaluate emerging Azure Machine Learning capabilities and open-source frameworks, conduct structured proofs of concept, and recommend adoption paths that provide clear long-term value. Coordinate the integration of Machine Learning services with enterprise applications, APIs, and event streams to create seamless intelligent workflows that improve user and customer experiences. Assess non-functional requirements, including security, privacy, scalability, observability, and operational resiliency, and define repeatable standards for Machine Learning solutions. Mentor senior technical contributors in areas such as model industrialization, cloud-native design, and data-driven solution architecture to improve overall delivery quality across programs. Qualifications Extensive hands-on experience architecting and delivering Machine Learning solutions using Azure Machine Learning, including data preparation, model training, deployment, and monitoring. Strong knowledge of Python-based Machine Learning ecosystems and cloud-native design patterns, with the ability to define architectures that support both experimentation and reliable production services. Experience with distributed systems or Distributed Order Management domains, designing intelligent solutions capable of handling large-scale order flows, inventory signals, and fulfillment constraints. Deep understanding of data modeling, data quality management, and feature engineering to ensure models are built on reliable and trusted data foundations. Proven experience working in hybrid work models and cross-functional Agile environments, effectively coordinating with geographically distributed stakeholders. Strong ability to analyze complex business problems, identify Machine Learning opportunities, and clearly communicate architectural recommendations to both technical and non-technical audiences. Required Certification Microsoft Certified: Azure AI Engineer Associate or an equivalent cloud certification focused on Machine Learning. ## Habilidades - Machine Learning - Azure - Azure Machine Learning **Página original:** https://www.123vagas.com.br/vaga/arquiteto-senior-sp-99324