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About the role
As an experienced AI Engineer, you will be responsible for leading the design, development, and implementation of enterprise-scale Artificial Intelligence solutions. Your expertise in Generative AI, Agentic AI frameworks, Python development, and modern data platforms will be essential for this role. Key Responsibilities: - Design and architect scalable AI/ML and Generative AI solutions aligned with business objectives. - Lead the development of Agentic AI applications, intelligent automation solutions, and AI-powered workflows. - Define end-to-end technical architecture, integration patterns, and deployment strategies for AI platforms. - Collaborate with business stakeholders, product teams, data engineers, and developers to translate requirements into technical solutions. - Build and optimize AI solutions using Python and cloud-based data platforms. - Design and implement data pipelines, model serving architectures, and monitoring frameworks. - Ensure adherence to best practices in security, governance, scalability, and performance. - Provide technical leadership, architecture reviews, and mentorship to engineering teams. - Evaluate emerging AI technologies and recommend innovative approaches for enterprise adoption. Required Skills & Qualifications: - 3+ years of overall IT experience with significant exposure to AI/ML architecture. - Robust expertise in Python programming. - Hands-on experience with Generative AI (GenAI) technologies and Large Language Models (LLMs). - Experience designing and implementing Agentic AI solutions. - Solid knowledge of the Databricks Platform. - Proficiency in SQL and handling complex data structures. - Valuable understanding of JSON structures, APIs, and system integrations. - Proven experience in technical architecture, solution design, and enterprise application integration. - Strong problem-solving, communication, and stakeholder management skills. As an experienced AI Engineer, you will be responsible for leading the design, development, and implementation of enterprise-scale Artificial Intelligence solutions. Your expertise in Generative AI, Agentic AI frameworks, Python development, and modern data platforms will be essential for this role. Key Responsibilities: - Design and architect scalable AI/ML and Generative AI solutions aligned with business objectives. - Lead the development of Agentic AI applications, intelligent automation solutions, and AI-powered workflows. - Define end-to-end technical architecture, integration patterns, and deployment strategies for AI platforms. - Collaborate with business stakeholders, product teams, data engineers, and developers to translate requirements into technical solutions. - Build and optimize AI solutions using Python and cloud-based data platforms. - Design and implement data pipelines, model serving architectures, and monitoring frameworks. - Ensure adherence to best practices in security, governance, scalability, and performance. - Provide technical leadership, architecture reviews, and mentorship to engineering teams. - Evaluate emerging AI technologies and recommend innovative approaches for enterprise adoption. Required Skills & Qualifications: - 3+ years of overall IT experience with significant exposure to AI/ML architecture. - Robust expertise in Python programming. - Hands-on experience with Generative AI (GenAI) technologies and Large Language Models (LLMs). - Experience designing and implementing Agentic AI solutions. - Solid knowledge of the Databricks Platform. - Proficiency in SQL and handling complex data structures. - Valuable understanding of JSON structures, APIs, and system integrations. - Proven experience in technical architecture, solution design, and enterprise application integration. - Strong problem-solving, communication, and stakeholder management skills.
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