Jobs at Accenture

Lead design, build, and configuration of applications, ensuring alignment with business objectives while overseeing project timelines and team guidance.

Design, develop, and enhance custom software components using Java and Spring Boot. Collaborate with cross-functional teams to translate requirements into scalable, high-performance solutions, maintain and optimize existing systems, document development phases, and mentor junior engineers while following agile practices.

Design, build, and support end-to-end features from UI to backend for laboratory systems. Provide application support, incident handling, service requests, and basic configuration for COTS LIMS (e.g., SampleManager, LabWare, Chromeleon) in chemical lab environments, using cloud-first and agile practices.

Deliver custom software QA and testing for automotive digital cockpit solutions: triage defects, perform functional testing and log analysis (DLT Viewer), manage defects in JIRA/Rally, support CI/CD (Jenkins/Gerrit), provide stakeholder reports, and work in Agile multi-vendor teams.

The Custom Software Engineer will develop custom software solutions, collaborate with teams, and implement enhancements while utilizing Reltio and modern frameworks.

As Application Lead, you'll design, build, and configure applications, ensuring successful delivery and mentoring junior team members.

Develop and maintain Android platform software for automotive infotainment and digital cockpit systems. Execute Android xTS certification test suites, analyze failures, collaborate with developers to remediate issues, and contribute to AOSP/AAOS customization, HAL integration, performance tuning, and version migrations to ensure compliant, high-performance solutions.

The Custom Software Engineer will lead Oracle Utilities WAM projects, manage teams, ensure solution delivery, and align with industry standards.

Leads a team to develop end-to-end testing strategies, negotiate priorities, analyze results, and mentor quality engineers in performance testing.

Lead a team of quality engineers to define and execute performance testing strategies using Apache JMeter, analyze results, advise development teams, mentor staff, and drive quality across the application lifecycle.

Lead design, build, and configuration of applications, ensuring they meet specifications, collaborating across teams, and enhancing performance and user experience.

Design, build, and configure applications to meet business and application requirements, collaborating with teams to develop solutions and monitor progress.

Designs and delivers production-ready AI/ML applications with emphasis on computer vision and image processing. Integrates GenAI models, neural networks, and cloud or on‑prem pipelines. Acts as SME, leads and mentors teams, collaborates across groups, and drives cross-team technical decisions and process improvements.

Designs and develops production-ready AI solutions with emphasis on computer vision and image processing. Integrates GenAI and cloud AI services, architects and optimizes neural networks, leads teams, makes cross-team technical decisions, and mentors engineers to improve processes and delivery.

Lead R&D and engineering for agentic and autonomous AI systems, design and prototype agentic applications, integrate LLMs and GenAI into production pipelines, mentor teams, collaborate with delivery and Responsible AI, publish research, and support client consulting engagements.

Lead development of production-ready AI applications integrating GenAI and cloud AI services. Provide NLP expertise, design ML solutions (deep learning, neural networks, chatbots, image processing), mentor teams, influence cross-team technical decisions, and improve processes for scalable deployments.

Design and build production-ready AI/ML systems using GenAI and Cloud AI services. Apply computer vision, speech, NLP, multimodal and agentic AI techniques. Lead research, publish in top conferences, mentor talent, collaborate with Responsible AI, delivery leads and academia, and deploy real-world applications like digital assistants and healthcare agents.

Lead AI research and engineering to build production-ready AI/GenAI solutions. Develop novel algorithms, apply NLP and deep learning, design cloud/on-prem pipelines, collaborate with delivery and Responsible AI, publish research, mentor talent, and deploy applications like digital assistants and enterprise automation.

Lead development of production-ready AI/ML systems using GenAI and cloud AI services. Drive research across NLP, CV, speech, and multimodal domains, publish in top conferences, collaborate with Responsible AI and delivery teams, build real-world agents and automation, and mentor junior researchers.

Lead design, build, and configuration of custom SAP applications. Act as SME and primary contact, collaborate across teams, make technical decisions, mentor juniors, troubleshoot issues, and improve development processes using SAP ABAP for HANA, OData, CDS views, and BADI within Agile delivery.