AI Solution Architect / AI Engineer

· 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)