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)