Jobs at Accenture

Design, build, and operate enterprise-grade AI agents and agentic workflows. Integrate multi-provider AI platforms, implement orchestration, retrieval/RAG, observability, and IaC. Partner with clients to define use cases, run POCs, deploy scalable cloud-native systems, measure agent performance, and craft reusable patterns and documentation.

Embed with client teams to architect, deploy, and scale enterprise AI platforms. Own time-to-value, adoption, reliability, and scalability; lead experiments, governance, integration, and executive-facing strategy while managing engineering teams and reusable deployment patterns.

Design, build, and ship production-grade full-stack software that integrates with agentic AI systems and LLM APIs. Use AI-assisted tooling daily, manage token/latency tradeoffs, own end-to-end delivery, validate AI outputs, track AI productivity KPIs, and contribute reusable components and internal AI tooling standards.

Embed with client teams to design, deploy, and scale production AI platforms end-to-end. Deliver reliable, measurable business outcomes through rapid prototyping, production deployments, governance, CI/CD, IAC, and stakeholder engagement. Build reusable patterns and enable client ownership while driving AI adoption and ROI.

Design, build, and operationalize AI/ML solutions across the full lifecycle: select and customize models (including deep learning, generative AI, LLMs), build scalable data and MLOps pipelines, work with large datasets, optimize for edge/HPC, engage in R&D, justify model value to stakeholders, and collaborate with cross-functional teams to deploy production-ready systems for enterprise clients.

As a Workday Consultant, you will implement cloud-based HR solutions, lead workshops, manage teams, and provide clients with expert guidance on Workday.

Lead hands-on test automation work while owning tooling strategy and frameworks across client accounts. Write and review automation code, perform QE assessments, mentor QE engineers, manage project-level client relationships, drive GenAI tooling adoption, and contribute to internal QE community and best practices.

Lead and hands-on engineer building cloud-native digital products for clients. Drive engineering practices, mentor team members, deliver code across full stack (backend/frontend), implement IaC and CI/CD, and ensure accessibility, security, performance and caching. Travel to UK client sites as required and contribute to internal engineering communities.

Consult on supply chain planning, fulfilment and control tower solutions. Advise C-suite on demand/supply planning, warehouse and fulfilment strategy, systems integration (SAP, Kinaxis, BlueYonder, etc.), digital transformation and analytics to optimise inventory, costs and service levels while enabling platform-driven implementations.

Lead definition and governance of enterprise infrastructure architecture, develop future-state roadmaps, align investments to strategy, drive cloud/infrastructure modernisation and technical debt reduction, support M&A and large transformation programmes.

Lead digital workplace transformations and advise clients on M365, Gen-AI and DEX solutions. Act as SME for identity, security, automation, collaboration, mobility and analytics; manage cross-functional project teams, contribute to RFPs and business cases, develop client-facing assets and senior-level presentations, and perform project governance and delivery activities.

Implement and advise on Workday Core HCM solutions: run workshops, design functional solutions, lead client teams, manage implementations, support data migration and security, and promote best practices and innovation.

As a Workday Talent & Performance Consultant, you will lead implementations of Workday solutions and collaborate with clients to enhance HR processes through technology.

Lead end-to-end delivery of SAP SuccessFactors implementations, managing scope, timelines, budgets, stakeholders, configuration, testing, deployment, risk mitigation, and change management to drive user adoption.

Lead teams to design, architect, provision, migrate, operate and govern hybrid cloud and on-premise infrastructure. Deliver strategies, automation, security, resilience and lifecycle management for enterprise-scale transformations.

Lead design and delivery of AI-ready infrastructure across on-prem, colocation and cloud. Define GPU compute architectures, ensure secure scalable GPU platforms for training, fine-tuning and inference, and manage distributed architecture and engineering teams during hybrid cloud transformations.

Design, build, migrate, operate and govern hybrid cloud and on-prem infrastructure. Architect and deliver cloud transformations, implement virtualization, container platforms, automation, and resilience strategies.

Design, implement, and optimize enterprise LAN/WAN/WiFi and cloud network architectures. Lead cloud networking (AWS/Azure/GCP), automation (Ansible, Python, Terraform), monitoring, troubleshooting, and enforce security/compliance. Collaborate with cross-functional teams and mentor junior engineers.

Lead clients in Master Data Management and SAP MDG, advise on data governance strategies, and support S/4HANA migration processes.

Build and ship production-quality AI applications and reusable deployment assets (agents, orchestration, evaluation). Support enterprise rollouts, integrate with IT/cloud infrastructure, accelerate client adoption, and champion responsible AI while advising and collaborating with client teams.