Principal AI Architect

Job description

**Job Requirements** Key Responsibility  Responsible for designing, implementing, and overseeing AI solutions that align with business objectives Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals. System Design: Architect robust AI frameworks and infrastructure for scalability and performance. Model Development: Design and implement AI/ML models, algorithms, and pipelines. Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions. Optimization & Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency. Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation). Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices Security & Compliance: Data anonymization, secure model deployment, bias detection **Work Experience** **Mandatory Skills** Programming Languages: Python, Java, or Node.js for AI system development. Machine Learning & Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability. Data Engineering & MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores. Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability. System Design & Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes). Security & Compliance: Data anonymization, secure model deployment, bias detection