AI Solution Architect / AI Engineer

Job Description ·      We are seeking an experienced AI Solution Architect / Senior AI Engineer with over 4 years of hands-on experience in designing, developing, and deploying AI solutions. ·      The ideal candidate will have strong expertise in Python, Azure AI, Machine Learning, and cloud technologies, with experience in building scalable AI applications, including video analytics solutions. Key Responsibilities ·      AI Solution Architecture & Delivery Lead the architecture, design, and end-to-end implementation of AI solutions. ·      Develop, optimize, and deploy AI models using Python and cloud AI services. ·      Design and integrate AI-based video analytics and video processing solutions. ·      Ensure AI applications are scalable, secure, reliable, and high-performing. ·      Cloud & Platform Engineering Design and deploy AI solutions on Microsoft Azure and other cloud platforms. ·       Implement edge AI solutions where applicable. ·      Apply DevOps practices for AI model deployment, CI/CD, monitoring, and maintenance. ·       Stakeholder Collaboration Collaborate with business stakeholders to identify AI opportunities. ·      Participate in requirement gathering and review functional specifications. ·      Work closely with technical leads to ensure solutions align with enterprise architecture standards. ·      Quality & Governance Conduct code reviews and participate in peer reviews. ·      Ensure compliance with security standards, coding best practices, and project governance. ·      Leadership & Innovation Mentor junior AI Engineers and Data Scientists. ·      Stay updated on emerging AI technologies and industry best practices. ·      Drive continuous improvement and innovation initiatives. Required Skills & Experience ·      4+ years of hands-on experience in AI/ML solution development. ·      Strong programming experience in Python. ·      Hands-on experience with Microsoft Azure AI Services. ·       Experience with TensorFlow and/or PyTorch. Experience building AI solutions involving Video Analytics/Computer Vision. ·      Knowledge of AI deployment, MLOps, and DevOps practices. ·      Experience working in Agile environments. ·      Strong analytical, communication, and leadership skills. ·      Azure AI Engineer Associate Certified Artificial Intelligence Professional (CAIP)