Jobs at Accenture

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.

Design and develop cloud-native, scalable architectures using containers, microservices, serverless, and declarative APIs. Lead and mentor teams, make architecture decisions, recommend tools, and ensure best practices for infrastructure-as-code and container orchestration are implemented across projects.

Design, build, and support end-to-end features for laboratory systems (LIMS), handling frontend and backend development, application support, issue resolution, configuration, documentation, and user support. Ensure scalable architectures, cloud-first solutions, database integration, testing, and quality adherence while collaborating in agile teams to solve lab-specific business problems.

Develop and enhance custom software components using modern frameworks and agile practices. Provide L2/L3 support and configuration for lab systems (Chromeleon, OpenLab LabX, Metrohm, MassLib LabQ), ensure laboratory digital workflow availability, troubleshoot and optimize applications, and integrate third-party tools. Support chemical R&D environments; collaborate with teams to deliver scalable, high-performance solutions.

Design, build, and maintain end-to-end features from UI to backend for cloud-first applications. Collaborate with cross-functional teams, troubleshoot and optimize systems, participate in CI/CD and agile practices, mentor juniors, and become an SME in Laboratory Information and Execution Systems.

Design, build, and maintain end-to-end features spanning frontend and backend for laboratory information and execution systems. Collaborate with cross-functional teams, adopt cloud-first and agile practices, ensure quality through testing and CI/CD, troubleshoot performance issues, and mentor junior engineers while driving continuous improvements.

Develop and support end-to-end features for Laboratory Information and Execution Systems (LIMS/LES), with hands-on LabVantage LIMS experience. Work across frontend and backend, cloud environments, databases, and the full software lifecycle to ensure reliable lab operations and integration with lab users.

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