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Join the Accenture Labs’ AI R&D Team and work on core AI Models / technology that work across multiple domains. As an Applied Scientist, you will sit at the intersection of advanced AI research and real-world business impact. You will translate state-of-the-art machine learning and AI techniques into practical, scalable solutions that solve complex problems across real datasets, products, and client environments. This role is ideal for someone who enjoys moving beyond pure research to own the end-to-end lifecycle of AI solutions—from problem formulation and experimentation to validation, deployment, and measurable outcomes.
Job Responsibility:
Research Synthesis
Adapt foundation and compact language models to specialized domains
Design and implement agentic LLM systems
Hands-on Prototype Development
Research Dissemination
Strategic Storytelling
Requirements:
Review, analyze, and strategically summarize the latest academic and industry research in technical domains (e.g., LLM domain adaptation, knowledge integration, reasoning techniques)
Adapt foundation and compact language models to specialized domains using techniques such as fine-tuning, continued pre-training, distillation, and parameter-efficient methods (e.g. LoRA)
Design and implement agentic LLM systems that integrate external tools (APIs, databases, services, rule engines) to perform precision and verifiable tasks
Hands-on Prototype Development: Collaborate directly with Senior Research Scientists to rapidly design, build, and test Proof-of-Concepts
Research Dissemination: Articulate complex research findings into clear, persuasive, and publishable papers and presentations for both academic and business audiences
Strategic Storytelling: Craft engaging narratives and technical demonstrations that translate research outcomes into clear, compelling value propositions