AI LLM Technology Architecture Manager

AI LLM Technology Architecture Manager

Skill required: Tech for Operations - Artificial Intelligence (AI)
Designation: AI LLM Technology Architecture Manager
Qualifications:Any Graduation
Years of Experience:13 to 18 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? The role of an AI Research Scientist is both strategic and hands-on, blending deep technical expertise with creative problem-solving. In this position, you will lead the exploration and application of advanced artificial intelligence methodologies, focusing on pushing the boundaries of what is possible with data-driven insights. Your background in engineering or science, complemented by a decade or more of experience, will enable you to devise and execute research agendas that align with organizational goals. You will collaborate closely with multidisciplinary teams to conceptualize, prototype, and scale AI solutions tailored to complex, real-world challenges. This includes formulating research hypotheses, designing experimental frameworks, and validating innovative algorithms across domains such as Natural Language Processing, Computer Vision, and Deep Learning. AI Research Scientists are expected to stay abreast of emerging trends, contribute to scholarly publications, and translate theoretical advances into practical business impact. Demonstrating strong communication skills, you will effectively articulate research outcomes to both technical and non-technical stakeholders. Your role will also involve mentoring junior researchers, fostering a culture of intellectual curiosity, and ensuring rigor in all research activities.
What are we looking for? To excel in this role, an AI Research Scientist should possess a strong combination of technical, analytical, and interpersonal skills, including: Expertise in Data Analytics with a focus on unstructured data Proficiency in one or more of Natural Language Processing (NLP), Computer Vision, Language Models Advanced knowledge of Machine Learning and Deep Learning techniques Experience with Large Language Models (LLMs), both cloud-based and open-source solutions Strong programming skills in Python Ability to perform effectively under pressure Capacity to establish and nurture strong client relationships Proven track record in managing multiple stakeholders Keen understanding of complex business challenges Focus on driving measurable business impact through AI solutions ?
Roles and Responsibilities: •Lead the exploration, design, and implementation of advanced AI methodologies, including NLP, Machine Learning, and Deep Learning, to solve complex business problems. Collaborate with multidisciplinary teams to conceptualize, prototype, and deploy scalable AI solutions across domains such as Natural Language Processing, Computer Vision, and Large Language Models (LLMs), utilizing both cloud and open-source technologies. Formulate research hypotheses, design experimental frameworks, and validate innovative algorithms to drive business impact and address real-world challenges. Stay updated with emerging trends in AI, contribute to scholarly publications, and ensure the translation of theoretical advances into practical, client-focused solutions. Articulate research outcomes and technical concepts effectively to both technical and non-technical stakeholders, demonstrating strong communication skills. Mentor and guide junior researchers, fostering a culture of intellectual curiosity, rigor, and continuous learning within the team. Establish and maintain strong client relationships, understanding and addressing their business challenges through tailored AI-driven approaches. Manage multiple stakeholders and projects simultaneously, demonstrating resilience and the ability to perform under pressure. Promote best practices in AI research, ensuring methodological rigor, ethical standards, and measurable business results.