Artificial intelligence (AI) Engineer/Architect

Role Overview We are seeking an experienced AI Engineer to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions. The ideal candidate will possess deep expertise in Generative AI, Agentic AI frameworks, Python development, and modern data platforms , with a strong background in solution architecture and AI-driven transformation initiatives. 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.

Strong expertise in Python programming. Hands-on experience with Generative AI (GenAI) technologies and Large Language Models (LLMs). Experience designing and implementing Agentic AI solutions.

Strong knowledge of the Databricks Platform . Proficiency in SQL and handling complex data structures. Good 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.