Role Description The Solution Architect - Microsoft (Power Platform and Copilot Studio) leads the discovery, solutioning and delivery of modern digital products and platforms, integrating data and AI capabilities to drive measurable business outcomes. This role partners closely with clients, stakeholders, designers, engineers, and data scientists to define product vision, shape roadmaps and deliver scalable, responsible, and insight-driven digital experiences. Technical Product Managers have technical fluency to scope, prototype, plan and estimate digital application and data platform solutions, partnering closely with architects and engineers. Qualifications - Bachelor’s degree required (Computer Science, Engineering, Robotics, Systems, or related preferred). - Master’s degree a plus (AI/ML, Robotics, Computer Vision, Systems Engineering, HCI). - 6–10+ years of experience in solution architecture or consulting delivery for digital/software products. - Demonstrated success supporting presales: discovery workshops, solution narratives, prototypes/POCs, estimates, contribution to proposals and executive-ready presentations. - Hands-on delivery experience with Microsoft Power Platform and Copilot Studio (designing, building, testing, and releasing apps/automations/agents) across the full SDLC. - Experience establishing delivery standards and ALM for Power Platform/agents, including environments, solution packaging, deployment pipelines, and GitHub-based source control. - Experience implementing governance for Power Platform and agents (policy, lifecycle, security, and compliance), including Dataverse and connector strategy. - Strong understanding of AI concepts (generative AI, automation, and model/application integration) and ability to translate them into measurable business value and product requirements. - Strong stakeholder management and communication skills, with the ability to explain complex technical topics to executive and non-technical audiences. - Working knowledge of responsible AI and data governance practices (privacy, transparency, bias, and risk management) within enterprise delivery contexts. Requirements - Travel Requirements: Up to 25% of the time. Benefits - Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program. - Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement. - Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement. - Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program.

• Performs full scope of architectural services including concept design, building code analysis reports, construction drawings and specifications, detailing, and support during permitting, bidding, and construction • Conducts detailed investigation of current conditions, prepares documentation and reports • Coordinates and reviews disciplines in an integrated project approach to help ensure all aspects of design and implementation are cohesive and aligned • Provides recommendations and consults on building materials selection • Ensures building and site aesthetics are incorporated within the design and are based on project requirements • Provides construction support, review of shop drawings and prepares RFIs and addendum

Role Description - Concevoir, deployer, securiser et optimiser les clusters Kubernetes (SAS Viya 4.0) - Automatiser les deployements d'infrastructure Azure via pipelines CI/CD (Azure DevOps / GitHub Actions) - Implementer les controles de securite AKS (RBAC, Network Policies, Pod Security Standards, admission controllers) - Gerer les volumes NFS et SMB via Azure NetApp Files (CSI Drivers, PV/PVC) - Administrer les clusters AKS : mises a jour Kubernetes, node pools, certificats, ingress - Assurer le logging, monitoring et optimisation (Azure Monitor, Log Analytics, Container Insights) - Garantir la haute disponibilite multi-zone et les plans de continuite et reprise apres sinistre - Saisir les heures hebdomadairement dans le systeme de gestion du temps du MFQ (gabarit Excel) - Assurer un transfert de connaissances continu aux ressources internes Deliverables - Architecture & conception - Dossier AKS cible (logique/physique, topologie reseau, HA/DR) - Diagrammes AKS - Normes et gouvernance - Recommandations FinOps - Automatisation & CI/CD - Pipelines CI/CD - Infrastructure as Code (Terraform/Bicep/ARM) - Documentation exploitation CI/CD (secrets, rollback) - Securite - Rapport controles (RBAC, Network Policies, Admission Controllers) - Scanning d'images - Azure Policy for AKS - Analyse de risques - Stockage (ANF) - Configuration volumes NFS/SMB - Documentation integration AKS-ANF - Plan capacite et performance - Administration & exploitation - Runbooks operationnels - Guide administration AKS - Procedures mise a jour SAS Viya 4.0 - Monitoring & optimisation - Configuration Azure Monitor / Container Insights - Tableaux de bord - Rapports d'optimisation des couts - Haute disponibilite & resilience - Plan HA multi-zone - Plan de continuite et reprise apres sinistre - Tests de resilience - Transfert de connaissances - Documentation technique complete - Ateliers de formation - Support post-deploiement (hypercare) - Maintien & mise a jour clusters - Bon fonctionnement continu - Application des mises a jour et correctifs - Gestion des incidents infrastructure Qualifications - Diplome universitaire de 1er cycle (BAC) en informatique, genie logiciel, genie informatique, administration option systemes d'information organisationnelle, ou discipline pertinente en TI. - Minimum 12 mois d'experience comme conseiller en architecture AKS pour une organisation d'envergure comparable au MFQ (~650 employes, infrastructure hybride Azure + on-premises). - Mandats d'au moins 90 jours demontrant la maitrise de : Azure Kubernetes Service (AKS), Ansible, DevSecOps, Cloud Azure, Terraform, Azure DevOps, PowerShell et Python ou Bash. - Connaissances et experience requises pour realiser l'ensemble des activites et biens livrables de l'article 2.2.1 du CCDE.

Role Description The A.C.Coy Company has an immediate need for an Enterprise Data Architect. Ideal candidates must have 10+ years of experience as a Data Architect. - Lead the design, develop and implement data models for enterprise-level applications and systems architected in the following layers: conceptual, logical, business area, and application. - Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. - Establish methods, tools, and procedures for tracking data quality, completeness, redundancy, and improvement. - Propose and collaborate on plans for security, backup, disaster recovery, business continuity, and archiving within the domain architect area. - Identify, establish, publish, and communicate the data principles, standards, frameworks, structures, technology components, interfaces, patterns, methodologies, and best practices. - Conduct data capacity/workload planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. - Develop and promote data management methodologies and standards. - Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. - Collaborate with Architecture & Governance, Integration, Infrastructure, Security, Data Privacy, and other groups to establish and champion the adoption of a modern data architecture practice. - Oversee the development team by monitoring and reviewing the quality, performance, security, and scalability of solutions, addressing any technical issues to ensure compliance with requirements, standards, and policies. - Work with the compliance team to ensure that data strategies and architectures are in regulatory compliance. - Integrate relevant security and compliance standards into all data architectural designs to build a robust framework. - Advocate for security and risk management practices at every architectural touchpoint to protect Alcoa data from unauthorized access and maintain privacy in compliance with regulations like GDPR, HIPAA, and CCPA. - Coordinate and manage FEAT work-intake tasks and associated strategies to ensure proper alignment and successful implementation by leveraging architectural consulting expertise, direction, and support. - Develop comprehensive plans for integrating new systems with existing ones to establish baseline architecture and system requirements, ensuring seamless interoperation of different systems and promoting reusability. - Maintain and develop a thorough architecture (domain architect area) blueprint, considering business needs, constraints, and industry standards within the domain architect area. - Oversee the mapping of data sources, data movement, interfaces, and analytics, to ensure data quality. - Identify opportunities for data reuse, migration, or retirement, and resolve data issues related to data systems integration, compatibility, and multi-platform integration. Qualifications - Degree in computer science, information systems, or computer engineering. - TOGAF (The Open Group Architecture Framework) - Preferred. Requirements - Data or information architect - 10+ years. - Hands-on experience with data architecting, data mining, large-scale data modeling, business requirements gathering/analysis, entity relationship planning, database design, reporting structures - 10+ years. - Direct experience in implementing enterprise data management processes, procedures, and decision support. - Strong understanding of AI foundational principles, governance, and how data needs to be ready for AI. - Strong understanding of relational data structures, theories, principles, and practices. - Strong familiarity with metadata management and associated processes, as well as managing data and metadata migration. - Extensive hands-on experience with enterprise repository tools, data modeling, mapping, profiling, and repository creation, as well as data and information system life cycle methodologies. - Proven experience with data platforms and technologies. - Knowledge of applicable data privacy practices and laws. - Proven experience in architecting and implementing Business Intelligence and Data Warehouse platforms, Master Data Management, data integration, and OLTP database solutions. - A comprehensive understanding of data warehousing and data transformation (extract, transform, and load) processes and the supporting technologies, such as Azure Data Factory, Data Lake, and other analytics products. - Experience working with Data in AI systems - Preferred.