AI Architect

Job Description

• Lead the design, development, and deployment of scalable AI/ML solutions aligned with business objectives.
• Architect end-to-end AI-powered applications, integrating models seamlessly with Angular-based front-end systems.
• Drive technical strategy and decision-making for AI, frontend, and cloud architecture.
• Mentor and guide junior engineers, conduct code reviews, and enforce best practices across teams.
• Collaborate with cross-functional stakeholders (product, design, data science, DevOps) to define and deliver impactful solutions.
• Build and optimize complex, high-performance Angular applications with a strong focus on UX for AI-driven features.
• Design and implement robust, secure, and scalable cloud-native solutions using platforms such as Azure, AWS, or Google Cloud Platform.
• Own MLOps lifecycle: model training, validation, deployment, monitoring, and continuous improvement.
• Establish and maintain CI/CD pipelines for both application and AI model deployments.
• Drive performance tuning, cost optimization, and scalability improvements across cloud infrastructure and AI workloads.
• Ensure adherence to security, governance, and compliance standards, especially for AI and data handling.
• Evaluate emerging technologies, frameworks, and tools to continuously improve platform capabilities.
• Lead troubleshooting and resolution of complex production issues across AI, frontend, and cloud layers.
• Contribute to architectural documentation, technical roadmaps, and long-term platform strategy.