Jobs at Accenture

Designs and implements automated testing strategies and frameworks for large-scale applications. Performs continuous testing (security, API, regression), creates automation scripts, configures data/environments, participates in code reviews, monitors and reports defects, and supports cross-functional teams to drive quality and continuous improvement.

Provide consultative business and system integration services using Siemens Teamcenter. Translate customer needs into functional and technical solutions, drive transformation and customer-journey discussions, gather stakeholder requirements, troubleshoot integration issues, and collaborate with cross-functional teams to deliver aligned project outcomes.

Develop, design, code, and enhance custom software components using modern frameworks and agile practices. Act as an SME, lead team decisions, integrate and optimize application performance monitoring (Dynatrace), analyze system performance, mentor juniors, and coordinate cross-functional delivery and process improvements.

Design and configure applications for business needs in Salesforce, focusing on Salesforce CPQ, Billing, and complex Quote-to-Cash processes.

Design, build, and configure applications to meet business requirements. Collaborate with stakeholders, participate in requirements gathering, code reviews, testing, and debugging. Apply application design best practices, integration techniques and APIs, and work within Agile/Scrum teams. Expected to contribute independently and become an SME.

Design, build, and configure applications to meet business processes. Collaborate with stakeholders, gather requirements, develop solutions, participate in testing, debugging and code reviews, troubleshoot issues, and contribute as an independent SME aligned with agile SDLC.

Design and model application data structures, storage, and integration. Build scalable data pipelines and storage for AI/ML, deploy models to cloud, collaborate with stakeholders, lead teams, and mentor junior members while enforcing data architecture standards and best practices.

Design and model application data architecture, build scalable data pipelines and storage, integrate data systems, and operationalize AI/ML models. Lead teams, define standards, mentor juniors, and collaborate with business and engineering stakeholders to deliver production-ready AI solutions.

Design and model application data architecture, build scalable data pipelines, operationalize AI/ML solutions (including LLMs and Deep Learning), ensure data storage/integration, lead teams, mentor juniors, and collaborate with business and engineering stakeholders to deliver production-ready ML systems.

Design and model application data architecture and scalable data pipelines to support AI/ML solutions. Build, deploy, and operationalize ML models (including deep learning and LLMs) on cloud platforms, collaborate with stakeholders, lead teams, and define data storage, integration, and MLOps/DevOps practices.

Design and model application data architecture, storage, and integrations. Lead data-architecture standards, collaborate with stakeholders, mentor team members, and ensure scalable, secure, high-quality data solutions across systems.

Design and model application data architecture, build scalable data pipelines, and operationalize AI/ML solutions. Customize and deploy deep learning and generative AI models, integrate LLMs, ensure data storage and retrieval efficiency, collaborate with cross-functional teams, mentor junior staff, and drive data architecture standards and best practices to meet business requirements.

Lead design and delivery of knowledge graph and semantic AI solutions: define ontologies, architect KG and data pipelines, apply graph-based ML and analytics, drive stakeholder strategy, lead teams, and support sales/pre-sales across complex, enterprise programs.

Lead technical direction and architecture for custom software solutions. Guide teams through design, implementation, and delivery while ensuring scalability, performance, and code quality. Align technical solutions to business strategy, drive continuous improvement, mentor engineers, influence cross-team decisions, and act as an SME for enterprise-wide problems.

Design and model application data architectures, define data requirements, and ensure scalable, secure storage and integration. Lead and mentor teams, establish architecture standards and best practices, engage stakeholders, and provide cross-team solutions to ensure data quality and consistency.

Act as an SME Application Support Engineer troubleshooting and resolving issues across critical business systems, focusing on network infrastructure, monitoring, performance optimization, mentoring team members, and coordinating cross-functional incident resolution.

Develop production-ready AI/ML applications using cloud AI services and generative models. Design and implement ML pipelines, work on deep learning, chatbots, and image processing, collaborate cross-functionally, lead and mentor team members, and improve processes for scalable deployment.

Design and maintain the data platform blueprint, collaborate with Integration and Data Architects, lead and mentor the team, implement scalable data pipelines, optimize platform performance, and ensure data governance and security.

Design, build, and configure Workday applications to meet business requirements. Collaborate with team members to develop features, perform testing and troubleshooting, document processes, participate in code reviews, and act as an SME for Workday Time and Absence modules.

Design, develop, and support ETL/data integration pipelines and production support (L2/L3) for enterprise data platforms. Optimize, validate, and reconcile data loads, perform impact/root-cause analysis, maintain documentation and runbooks, and coordinate releases with AMS and DevOps teams to meet SLAs.