ABOUT ACCENTURE:

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PROJECT DESCRIPTION:

We are seeking an experienced AI Architect to lead the design and implementation of enterprise-grade Artificial Intelligence solutions using Microsoft Azure. The successful candidate will be responsible for defining the end-to-end architecture of scalable AI systems, working closely with cross-functional teams to deliver measurable business outcomes.

• Translate business challenges into AI-powered technical solutions.
• Architect and build AI platforms using Azure services such as Azure Machine Learning, Cognitive Services, Azure Databricks, Synapse Analytics, and more.
• Guide and collaborate with data engineers and data scientists to ensure end-to-end pipeline performance, scalability, and maintainability.
• Develop reusable frameworks, templates, and assets to accelerate AI delivery.
• Champion responsible AI principles, ensuring governance, transparency, and ethical considerations are embedded into AI solutions.
• Act as a strategic advisor to clients, providing insights on AI adoption, solutioning, and roadmap planning.

KEY SKILLS:

• Proven experience designing and deploying AI/ML solutions on Azure
• Strong foundation in Artificial Intelligence and Machine Learning, including model development, training, deployment, and MLOps
• Proficiency in Python (mandatory) and ML frameworks such as scikit-learn, PyTorch, TensorFlow
• In-depth understanding of cloud-native architecture and enterprise solution design
• Familiarity with data engineering and orchestration tools (Azure Data Factory, Spark, Databricks, etc.)
• Experience working in consulting or complex enterprise environments with client-facing responsibilities
• Strong stakeholder management and communication skills
• Bonus: Experience with Generative AI, Large Language Models, or Microsoft Fabric

• Translate business challenges into AI-powered technical solutions.
• Architect and build AI platforms using Azure services such as Azure Machine Learning, Cognitive Services, Azure Databricks, Synapse Analytics, and more.
• Guide and collaborate with data engineers and data scientists to ensure end-to-end pipeline performance, scalability, and maintainability.
• Develop reusable frameworks, templates, and assets to accelerate AI delivery.
• Champion responsible AI principles, ensuring governance, transparency, and ethical considerations are embedded into AI solutions.
• Act as a strategic advisor to clients, providing insights on AI adoption, solutioning, and roadmap planning