Jobs at Accenture

Lead organizational change and workforce reinvention consulting for Chemicals and Natural Resources clients. Design enterprise change programs, AI adoption strategies, operating models, readiness assessments, and scalable change journeys. Use data, analytics, and Generative AI to measure adoption, tailor communications, enable learning, and support responsible technology adoption. Build client relationships, contribute to proposals and business development, and help organizations develop continuous change capabilities.

Manage employment tax compliance across local and international operations, including payroll-related taxes, regulatory interpretation, audits, tax risk mitigation, and authority interactions. Advise stakeholders on tax impacts and planning opportunities involving compensation, benefits, acquisitions, staffing, and global mobility. Collaborate with Payroll, HR, and Mobility teams while supporting expatriate matters, international tax agreements, and Brazilian tax obligations.

Coordinates end-to-end content delivery workflows in a regulated life sciences environment. Manages project intake, prioritization, capacity planning, governance, stakeholder communication, delivery tracking, risks, dependencies, reporting, and process improvements while coordinating cross-functional teams and supporting operational excellence.

Lead automation and controls consulting projects for manufacturing clients. Responsibilities include technical consultation, control-system architecture and development, automation integration, virtual commissioning, testing, simulation, validation, documentation, proposals, client relationship development, and project resource and budget management. Requires manufacturing control engineering experience and familiarity with PLC, HMI, SCADA, and DCS systems.

Lead ALIP Staging and insurance data delivery for life and annuity clients. Advise on data structures, mappings, transformations, reporting, integrations, migrations, and downstream consumption. Facilitate workshops and architecture discussions, translate requirements into data solutions, support implementations through stabilization, resolve data gaps, and develop reusable mapping patterns, documentation, and accelerators. Requires extensive life insurance, annuity, data analysis, integration, warehousing, SQL, and client delivery experience.

Design, provision, and manage cloud infrastructure as code (Terraform); build GitOps-based CI/CD pipelines; operate and scale multi-tenant Kubernetes clusters; implement observability (monitoring, logging, tracing); and enforce platform security (image scanning, secrets management, RBAC) across the delivery lifecycle.

Design and architect secure, scalable, cost-efficient, multitenant SaaS solutions using .NET and AWS. Define architecture blueprints, solution patterns, and customization boundaries; translate requirements into technical specifications; assess existing systems; lead architecture reviews; estimate solutions; ensure performance and reliability; and mentor junior engineers.

Lead SAP RE-FX and Contract and Lease Management consulting projects, translating client requirements into SAP S/4HANA solutions. Design, configure, integrate, test, and implement real estate, facilities, contract, lease accounting, portfolio, and space management processes. Manage teams, stakeholders, project resources, risks, milestones, and financials while supporting client relationships, business development, sales, innovation, and coaching junior colleagues.

Leads Site Reliability Engineering initiatives for critical environments, defining strategies for resilience, observability, reliability, automation, and high availability. Acts as a technical authority, influences multidisciplinary teams, aligns technical solutions with business goals, resolves complex IT issues, and drives continuous operational improvement. Requires advanced SRE and troubleshooting experience, strong technical leadership, and proficiency in monitoring, performance management, service recovery, and DevOps practices.

Develop and enhance custom software solutions using modern frameworks and agile practices. Translate complex business requirements into scalable technical solutions, integrate systems, optimize performance, and collaborate across teams. Serve as a subject matter expert, make team decisions, lead process improvements, solve cross-team problems, and mentor junior engineers. The role requires at least 7.5 years of SAP Plant Maintenance experience and 15 years of full-time education.

Develop and enhance custom software solutions using Java and Spring Boot. Design scalable applications, RESTful APIs, and microservices; integrate databases; troubleshoot performance issues; and apply agile development practices. Act as a subject matter expert, guide team decisions, coordinate cross-functional delivery, improve engineering processes, and mentor junior developers.

Build AWS-based knowledge engineering and AI solutions, including knowledge graphs, ontologies, semantic layers, data pipelines, vector search, LLM grounding, and graph-based applications. The role involves designing, developing, testing, integrating, and deploying scalable components using services such as Neptune, Glue, Lambda, Bedrock, and SageMaker. Candidates collaborate with client and delivery teams, document technical findings, support solutioning and demonstrations, and mentor junior engineers while remaining hands-on.

Supports enterprise applications by troubleshooting incidents, monitoring system health, performing root cause analysis, implementing remediation and performance improvements, and documenting technical solutions. Collaborates with development, infrastructure, and business teams to improve application stability, availability, and support processes. Communicates technical findings and recommendations to technical and non-technical stakeholders.

Design, build, configure, test, and troubleshoot applications that support business processes and requirements. Collaborate with cross-functional teams to translate business needs into technical specifications, contribute to project solutions, document application workflows, participate in team discussions, and develop expertise in Workday project management and benefits solutions.

Manage and support enterprise Linux, Windows, and cloud infrastructure. Responsibilities include system administration, monitoring, patching, upgrades, security controls, troubleshooting, automation, documentation, audit compliance, technical consultation, mentoring, and 24x7 on-call incident support.

Provide production support for enterprise applications, troubleshoot complex application and integration issues, perform root cause analysis, monitor system health, and implement corrective actions. Collaborate with development, infrastructure, and business teams on remediation, enhancements, upgrades, and maintenance. Support incident, problem, and change management processes while improving application stability, performance, and user experience. Provide technical guidance and contribute to continuous improvement initiatives.

Provides onsite logistics and technical support for augmented reality devices. Responsibilities include receiving, inspecting, tracking, shipping, and maintaining device inventory; preparing devices through software installation and configuration; troubleshooting hardware, software, and data issues; managing RMAs; creating documentation and diagnostic tools; and supporting events, demonstrations, research studies, and users.

Provides Level 2 deskside and helpdesk support, troubleshooting hardware, Windows, business applications, network connectivity, VPN/VDI, printers, and remote-workforce issues. Owns tickets through resolution, supports onboarding, manages corporate hardware inventory, ships and receives assets, and performs workstation imaging and installations. Requires three years of deskside support experience and familiarity with Active Directory, Microsoft 365, and asset management.

Architects and leads enterprise-scale AI/ML and computational science solutions, including scientific data pipelines, simulation intelligence, optimization, model development, deployment, MLOps, governance, and accelerated computing. Owns architecture across Databricks, cloud, compute, storage, orchestration, security, observability, and cost optimization. Guides technical teams, partners with scientists and senior stakeholders, supports pre-sales, and develops reusable AI, digital twin, generative AI, and scientific computing assets.

Desenvolve soluções backend de alta complexidade usando Java, Kotlin ou Python, com APIs REST, microsserviços, programação reativa, bancos relacionais e não relacionais. Atua com containers, Kubernetes, mensageria, CI/CD, DevOps e cloud, aplicando arquitetura hexagonal, testes automatizados e práticas ágeis. A posição também pode envolver liderança técnica, gestão de squads, arquiteturas distribuídas e projetos multi-cloud.