Jobs at Accenture

Lead design and deployment of advanced AI solutions for enterprise clients, overseeing complex implementations and mentoring engineers in a client-facing role.

Designs, develops, and supports enterprise data integration, visualization, monitoring, and governance solutions using Splunk, NiFi, Starburst, and SAP Banking technologies. Builds ETL/ELT workflows, dashboards, alerts, authentication systems, and data virtualization capabilities. Leads developers and consultants, performs troubleshooting, performance tuning, capacity planning, root cause analysis, release management, access governance, and stakeholder engagement. Documents solutions, reviews code and designs, mentors teams, and translates business requirements into technical solutions.

Develops enterprise Data and AI strategies, identifies and prioritizes AI and automation use cases, assesses organizational maturity, and designs transformation roadmaps. Builds business cases, ROI and value-realization frameworks, operating models, governance structures, and technology blueprints. Advises executives on AI commercialization, ecosystem partnerships, and build-versus-buy decisions while embedding responsible AI, privacy, risk, and security principles.

Designs, automates, and supports cloud and container platforms. Responsibilities include building infrastructure with Infrastructure as Code, managing Kubernetes and containerized applications, improving CI/CD pipelines, monitoring platform health, troubleshooting infrastructure issues, and implementing security and DevSecOps practices. The role collaborates with engineering, operations, and security teams, includes managed-services support, shift work, on-call availability, and after-hours deployments.

Coordinate enterprise patch deployments across Windows, Linux, and third-party applications. Manage MECM/SCCM, WSUS, and Red Hat Satellite environments; troubleshoot deployment issues; support vulnerability remediation and compliance initiatives; and improve patching automation and processes. The role requires collaboration with infrastructure and security teams, five days per week in a Sydney office, and flexibility for shifts, on-call support, and after-hours deployments.

Lead cloud FinOps initiatives covering cost transparency, financial reporting, governance, dashboards, service catalogues, and optimization. Partner with cloud engineering, finance, and business stakeholders across AWS and Azure environments, using ServiceNow and enterprise reporting platforms to translate cloud consumption and financial data into actionable recommendations. The role requires on-site work in Sydney and an Australian citizenship with active security clearance.

The role involves delivering Data & AI solutions in marketing, leading client engagements, and developing strategies to enhance customer insights and experiences.

Administer, design, optimize, and troubleshoot enterprise Elastic Stack environments across production and non-production systems. Build observability, logging, monitoring, alerting, and reporting solutions; lead platform upgrades and migrations; tune performance; resolve incidents; and collaborate with engineering, operations, and platform teams. The role supports managed services and may require shift work, on-call coverage, and after-hours deployments.