Jobs at Accenture

Design, build, test and deploy AI agents, copilots and RAG-enabled workflows. Develop reusable components, prompts, orchestration flows, APIs and integrations with enterprise platforms. Implement guardrails, human-in-the-loop checks, logging and monitoring for production readiness, and collaborate with architects and Ops teams to scale prototypes into enterprise managed services.

Design and execute QA strategies for AI agents, copilots, and intelligent workflows. Validate outputs, prompts, hallucination risks, and business process accuracy. Develop evaluation datasets, quality gates, automated regression suites, and test integrations across enterprise platforms (SAP, Salesforce, ServiceNow, SuccessFactors). Collaborate with product, architecture, and operations teams to ensure AI solutions are reliable, auditable, and production-ready.

Design, build, test, deploy, and support full-stack, cloud-native applications while integrating Generative and Agentic AI capabilities (LLMs, RAG, intelligent agents). Implement microservices, APIs, CI/CD, IaC, container orchestration, DevSecOps, and AI-driven observability. Collaborate with architects, product, and AI specialists to deliver scalable, secure AI-powered enterprise solutions.

Lead strategy, roadmap, and commercialization of AI-enabled managed services. Identify and prioritize opportunities across enterprise platforms, build business cases, partner with sales and delivery to scale adoption, and track measurable business outcomes like productivity, cost optimization, and service quality improvements.

Design, build, and maintain scalable data pipelines and ETL processes. Ensure data quality, lead data migrations and processing, advise on data architecture, optimize pipelines, shape best practices, collaborate across teams, and lead stakeholder communications to solve complex data challenges.

Design, develop, and maintain scalable data solutions and pipelines. Ensure data quality, lead ETL/migration efforts, provide architecture and optimization guidance, collaborate with cross-functional teams, and influence data strategy and best practices.