AI SENIOR SOLUTIONS ARCHITECT

Job description

Job Description: Key Responsibilities AI & Enterprise Application Strategy: - Define an AI/ML adoption roadmap across ERP, CRM, HRIS, BI, and custom applications. - Translate strategic objectives into use-case-driven AI initiatives, leveraging GenAI capabilities for tangible business value. - Advise IT leadership on emerging AI trends, frameworks, and platform innovations (e.g., LLM orchestration, multi-modal AI). Architecture & Integration: - Architect end-to-end AI solutions in Microsoft Azure AI, integrating with enterprise systems via REST APIs, GraphQL, and event-driven architectures. - Ensure compatibility with solutions running in AWS SageMaker and hybrid-cloud deployments. - Assist with design data ingestion and preparation pipelines. CI/CD, MLOps & Team Leadership: - Lead a team of engineers and data scientists in delivering complex AI projects (e.g., document intelligence, NLP chatbots, predictive analytics, RPA workflows). - Implement MLOps practices and CI/CD pipelines using GitHub Actions for AI model lifecycle management. - Establish model monitoring, retraining schedules, and drift detection with frameworks like MLflow and Kubeflow. Project Delivery: - Own AI project...