Job Title: AI Applied Researcher (2 roles)
Management Level: 8
Must have skills: GenAI/NLP/LLM (transformers, embeddings, context engineering, fine-tuning, small language models); python programming; applied research & quick prototyping; AI soution design; innovation & IP generation; scientific communication & academic engagement
Experience Proven experience- PhD; 4+ years in applied research
Educational Qualification:, strong problem-solving and communication skills, domain expertise in either healthcare or financial services is preferred.
You May Also Need: agentic frameworks (LangGraph, AutoGen, Semantic Kernel); cloud platforms (Azure, AWS, GCP);
Job Summary:
In your role you will be expected to:
Frame business problems and identify value from AI; incubate and prototype new ideas and concepts that are expected to have a significant strategic near-term impact on our clients’ businesses; have a good understanding of the potential utility, limitations and challenges of a wide range of GenAI/NLP/LLM techniques and keep abreast of new developments in academic research and industry applications; steer and shape the development of the Innovation pipeline around GenAI/NLP/LLM (both in terms of new technologies and in terms of business applications); learn new skills and nurture new capabilities in your project teams to take advantage of emerging GenAI/NLP/LLM technologies & their application; contribute to intellectual property creation and thought leadership by generating patentable ideas, publishing high-quality technical or scientific papers, and representing the organization in external research communities, conferences, and consortia.
Additional Information:
What We Are Looking For: 40005931 - Innovation Research Assoc Principal
About Our Company | Accenture
Experience Proven experience-
- Experience in researching and developing technical solutions within a collaborative environment.
-
Demonstrated expertise in one or more specific technical fields relevant to the R&D focus."
Educational Qualification:, Master's in Computer Science / Software Engineering / AI (M.Tech or MS)
