AI Foundation Model Analyst (Thessaloniki) job opportunity at Accenture Plc.

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Accenture Plc AI Foundation Model Analyst (Thessaloniki)
Experience: 2 years
Pattern: full-time
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Multiple Locations, Greece
loacation Multiple Locat..........Greece

Are you ready to be a part of the digital reinvention of industry and revolutionize your career? In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Strategy and Consulting is one of four services –the others are Accenture Song, Technology and Operations. WORK YOU'LL DO As part of Accenture Data & AI practice, specialized in AI (our general term for deep learning, NLP, computer vision, chatbots, VA and robotics), you will be responsible for building and deploying new AI solutions for Accenture’s clients to improve various business outcomes and drive innovation. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will also be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges. As an AI Foundational Model Analyst, you will: Develop, test and deploy Generative & Agentic AI applications, including agent-based workflows. Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows and help optimize prompts for different use cases. Experiment with prompting strategies (e.g., few-shot, chain-of-thought) and interact with open-source LLMs under the guidance of senior AI engineers. Collaborate with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).

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