Role Description O profissional será responsável por apoiar o desenho técnico, a implementação e a configuração da plataforma Google Cloud necessária para a execução dos agentes de IA, garantindo aderência à arquitetura definida, segurança, escalabilidade, rastreabilidade, observabilidade e controle de custos. Atuará de forma integrada aos profissionais de IA, ao Product Owner/QA, aos arquitetos e aos representantes técnicos e de governança da Deal. Principais responsabilidades - Configurar e implementar componentes da solução no ambiente Google Cloud do cliente. - Apoiar a implementação e a evolução de agentes utilizando Vertex AI Agent Builder e Agent Engine. - Configurar mecanismos de busca semântica e recuperação de contexto para soluções RAG. - Implementar o consumo dos modelos Gemini disponibilizados por meio do Vertex AI Model Garden. - Configurar estruturas de armazenamento vetorial utilizando Vertex AI Vector Search. - Implementar mecanismos de memória e gestão de estado das sessões utilizando Firestore. - Estruturar o uso de BigQuery para armazenamento e análise de metadados, indicadores, históricos e informações operacionais. - Configurar buckets no Cloud Storage para documentos, artefatos, evidências, logs e arquivos processados pelos agentes. - Implementar e realizar o deploy de microsserviços, conectores e orquestradores utilizando Cloud Run e, quando aplicável, GKE. - Configurar APIs, políticas de autenticação, controle de tráfego e proteção dos serviços. - Implementar integrações orientadas a eventos utilizando Pub/Sub, Eventarc e Cloud Functions. - Apoiar integrações com Jira, Azure DevOps, GitHub, GitLab, Confluence, Portal Tech, PDI e APIs internas. - Configurar IAM, service accounts, Secret Manager e políticas de menor privilégio. - Implementar mecanismos de logging, monitoramento, rastreamento e auditoria. - Apoiar a criação e configuração dos pipelines de CI/CD da solução. - Monitorar consumo, cotas, tokens e custos dos serviços de IA. - Produzir documentação técnica, diagramas, evidências de configuração e orientações operacionais. - Apoiar testes técnicos, validação em UAT, estabilização da solução e implantação em produção. - Participar do handover e da transferência de conhecimento para os times indicados pelo cliente. Qualifications - Experiência prática em projetos de Inteligência Artificial ou IA Generativa sobre Google Cloud. - Experiência com Vertex AI, Gemini e consumo de modelos por API. - Experiência com Vertex AI Agent Builder, Agent Engine ou estruturas equivalentes de desenvolvimento e orquestração de agentes. - Conhecimento de arquiteturas RAG, embeddings, busca semântica e bancos vetoriais. - Experiência com Vertex AI Search ou Vertex AI Vector Search. - Experiência com BigQuery, Firestore e Cloud Storage. - Experiência com Cloud Run e aplicações conteinerizadas. - Conhecimento de Docker, microsserviços e APIs REST. - Experiência com Pub/Sub, Eventarc ou arquiteturas orientadas a eventos. - Experiência com IAM, Secret Manager, service accounts e gestão segura de credenciais. - Experiência com Cloud Logging, Cloud Monitoring e Cloud Trace. - Conhecimento de pipelines de CI/CD e Cloud Build. - Experiência com integração entre serviços Google Cloud e sistemas corporativos. - Conhecimento de práticas de segurança, rastreabilidade e observabilidade em ambientes regulados. - Capacidade de produzir documentação técnica e evidências de implementação. - Experiência com pelo menos uma das seguintes linguagens: Python, Java ou Node.js. - Capacidade de comunicação com arquitetos, desenvolvedores, áreas de segurança, governança e representantes de negócio. Benefits - Flash benefícios (VR/VA); - Trilha de carreira; - Convênio Farmácia; - Totalpass; - Assistência Médica | Assistência Odontológica; - Auxílio Creche; - Incentivo a certificação e qualificação; - Cultura Deal.

Role Description Crowe's Technology Advisory (ITA) practice is seeking a Manager, Solutions Architect to support cloud deployment, integration, and carve-out engagements. This individual will serve as a technical lead responsible for designing and delivering cloud infrastructure solutions for Private Equity firms and their Portfolio Companies. The role participates throughout the engagement lifecycle, including discovery, solution design, implementation, migration, and client transition activities. Key Responsibilities - Engagement Delivery - Lead technical workstreams for infrastructure deployments and integration services projects, ensuring quality delivery and adherence to project timelines. - Participate in discovery workshops with client stakeholders to assess current-state environments and support migration planning. - Contribute to statements of work, solution designs, project documentation, and client deliverables. - Troubleshoot and resolve complex infrastructure issues, escalating when appropriate. - Support project managers and engagement leaders in achieving successful client outcomes. - Solution Architecture - Design and implement cloud landing zones on Microsoft Azure and/or GCP, including networking, identity, security controls, and Infrastructure as Code (IaC). - Apply established integration and onboarding playbooks to support portfolio company implementations and cloud migrations. - Lead technical implementation activities involving Kubernetes, cloud databases, monitoring solutions, and disaster recovery capabilities. - Ensure solutions align with security, compliance, scalability, and operational requirements. - Client & Team Collaboration - Collaborate with client stakeholders, including IT leadership and technical teams, to understand business and technical requirements. - Coordinate with cross-functional teams across Identity, Security, Networking, and Data Migration workstreams. - Mentor consultants and senior consultants while supporting knowledge sharing across the delivery team. - Work effectively with onshore and offshore resources to deliver project objectives. - Practice Contributions - Contribute to the development and refinement of delivery methodologies, templates, and technical standards. - Support business development efforts through technical input for proposals, client presentations, and solution discussions. - Share best practices and lessons learned to improve service delivery and consistency. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required. - Microsoft Certified: Azure Solutions Architect Expert preferred. - Additional cloud certifications are a plus. - 5+ years of experience in cloud infrastructure, IT consulting, systems integration, or related disciplines. - Experience supporting cloud migrations, infrastructure deployments, or M&A integration initiatives. - Experience working in a client-facing consulting or professional services environment preferred. - Private Equity or portfolio company experience is a plus. Technical Proficiencies - Strong expertise in Microsoft Azure. - Infrastructure as Code (Terraform required; Pulumi or Bicep a plus). - Identity & Access Management: Microsoft Entra ID, Google Workspace. - Kubernetes (AKS/GKE), Azure/GCP SQL, networking (VPNs, firewalls, subnetting, VPCs/VNETs). - Security and compliance frameworks (SOC 2, GDPR, cloud governance controls). - Monitoring and observability tooling (Grafana, Prometheus, Loki, Azure Monitor). - PSA/ITSM platforms for managed services delivery. Key Competencies - Strong client-facing communication and relationship-building skills. - Ability to translate technical concepts into practical business outcomes. - Effective problem-solving and analytical thinking. - Strong organizational skills with the ability to manage multiple priorities. - Collaborative team player with demonstrated mentoring capabilities. - Ability to work independently while contributing to larger engagement teams. Work Environment - US-based; remote with travel to client sites as needed (estimated 15–25%). - Must be able to collaborate across time zones with India-based team members. Benefits - Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. - We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations.

• Execute full lifecycle implementation of telecom network functions in cloud-native environments • Collaborate with internal stakeholders, external vendors, and cloud providers • Manage design, deployment, acceptance, operations, documentation, and support activities • Ensure smooth handover from deployment to operations with proper knowledge transfer • Work across full mobile network architecture and network elements (NEs) • Support technologies across 2G, 3G, 4G, 5G, and Fixed Wireless Access (FWA) • Manage core network functions including: Packet Core, IMS Core, Charging & Policy, Registration & Subscriber Repositories • Apply deep knowledge of telecom protocols and architectures • Implement and maintain FCAPS (Fault, Configuration, Accounting, Performance, Security) frameworks • Deploy and operate telecom infrastructure in cloud-native environments • Work with platforms including AWS, Azure, OpenShift, and VMware • Configure and manage infrastructure templates (e.g., Heat, YAML) • Ensure adherence to deployment standards and best practices • Continuously improve deployment and operational processes • Partner with R&D and Engineering teams to automate workflows • Identify opportunities to enhance efficiency, reliability, and scalability • Support development of infrastructure-as-code and automation frameworks

Role Description - Implement solutions (building data pipelines, data modeling, infrastructure as code, etc.) that leverage the cloud platform - Lead a small engineering team: set technical direction, review designs and code, and mentor engineers - Participate in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services to the cloud - Conduct deep-dive “hands-on” education/training sessions to transfer knowledge to internal teams and customers considering, or already using, the cloud - Capture and share best-practice knowledge amongst the cloud and hybrid-cloud community - Cloud environment configuration and performance tuning, including performance and cost optimization of compute, storage, and data warehouse workloads - Implement data migration solutions from on premise to cloud – i.e. migrating to cloud data warehouses, managed databases, etc. - Build IP solutions that accelerate customer implementations and act as reusable components Qualifications - At least 3 years of proven experience in delivering cloud solutions on a major public cloud - Experience in networking, infrastructure, or database architecture, in addition to primary application expertise; cloud-based transformation solutions; design & implementation of distributed applications - At least 5 years of experience in working with software development tools and methodologies (Agile, Git, CI/CD) - At least 3 years of experience in a software/technology customer-facing or stakeholder-facing role - Cloud certification (associate or professional) from AWS, Azure, or GCP - Programming languages – Python, SQL, and one of Java, JavaScript/TypeScript, or Go - Hands-on with Infrastructure as Code and at least one container orchestration platform - Great communication, because this is a lead, customer- and/or stakeholder-facing role - Degree in a technical discipline, such as Computer Science, Engineering, MIS, or Math - 5+ years of total IT experience Requirements - Experience across two or more clouds (multi-cloud or hybrid architectures) and a deep understanding of the differentiating factors between AWS, Azure, GCP, and others - Experience implementing big data and streaming solutions (e.g., Spark/EMR, Dataproc, Kinesis/Kafka, Pub/Sub, Firehose) - Able to make appropriate recommendations across the cloud stack, including: - Object storage and block storage (S3 / Blob / GCS, EBS / managed disks) - Virtual machine / compute instances and autoscaling - Security, encryption, IAM, and governance frameworks - Experience implementing streaming and BI/visualization solutions (e.g., Kinesis, QuickSight, Power BI, Looker) - FinOps / cloud cost-governance practices - Exposure to GenAI/LLM integration in data and application platforms (RAG, vector stores, agentic workflows) Benefits - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location - This is a Permanent position based out of Baltimore, MD. Pay and Benefits - The pay range for this position is $119600.00 - $179400.00/yr. - Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Workplace Type - This is a fully remote position. Application Deadline - This position is anticipated to close on Jun 30, 2026.