AI Technical Architect job opportunity at Accenture Plc.

Home Jobs In Greece Tag: AI & Data AI Technical Architect position at Accenture Plc


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Accenture Plc AI Technical Architect
Experience: 5 years
Pattern: full-time
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Athens, Greece
loacation Athens....Greece

Are you ready to be a part of the AI digital reinvention 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 - Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from 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. We are seeking an AI / Agentic Technical Architect to design, lead the architecture of cutting-edge AI systems involving agent orchestration, LLM integration, and operationalize enterprise grade Generative and Agentic AI solutions. You will play a pivotal role in shaping modern AI architectures that combine LLMs, agentic orchestration, cloud native engineering, and robust data platforms. Working alongside multidisciplinary teams with strategy, engineering, data & AI, and industry experts – you will help clients adopt AI systems that are secure, scalable, and production ready. This is a hands-on architecture role for someone who thrives at the intersection of AI innovation, cloud engineering, and enterprise systems design. What You Will Do Architect end-to-end Generative and Agentic AI solutions (focusing on agent orchestration, system integration, model selection), from discovery and design through deployment and scaling. Build and integrate agentic workflows, including orchestration frameworks, multiagent systems, MCP Server integrations, and A2A protocol-based interactions. Design cloud native AI solutions across AWS, Azure, and GCP, ensuring performance, resilience, and cost-efficient scaling. Lead the implementation of MLOps / LLMOps pipelines, enabling continuous delivery, monitoring, governance, and lifecycle management of AI models. Collaborate with data engineering teams to design data platforms, vector databases, RAG architectures, feature stores, and knowledge retrieval systems. Oversee system integrations, including APIs, microservices, enterprise networks, and security frameworks. Ensure secure, cost-optimized design through API gateway integration, token & context-window budgeting, and resource utilization planning. Provide architectural leadership in client workshops, technical assessments, and solution reviews. Advise clients on AI strategy, modernization roadmaps, and responsible AI adoption.

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