Artificial Intelligence Engineer

Job Title Senior AI Architect / Principal AI Engineer (Python) Experience 15+ Years Overall Experience in Software Engineering, Data Science, and Artificial Intelligence Job Summary We are seeking a highly experienced Senior AI Architect / Principal AI Engineer with 15+ years of industry experience to lead the design, development, and deployment of large-scale AI and Machine Learning solutions. The ideal candidate will have deep expertise in Python-based AI frameworks, strong architectural skills, and proven experience delivering production-grade AI systems across enterprise environments. This role requires technical leadership, hands-on development, and close collaboration with business and engineering stakeholders. Key Responsibilities • Architect, design, and implement end-to-end AI/ML solutions using Python • Lead development of Machine Learning, Deep Learning, and Generative AI models • Define AI architecture standards, best practices, and governance • Build scalable data pipelines, model training, validation, and deployment workflows • Oversee model lifecycle management (MLOps) including monitoring and retraining • Guide teams on model performance, explainability, fairness, and ethical AI • Collaborate with product owners, data engineers, cloud teams, and executives • Review code, mentor senior and junior engineers, and drive technical excellence • Translate business problems into AI-driven solutions with measurable impact • Stay current with emerging AI technologies and industry trends Required Technical Skills Programming & Core Technologies • Expert-level Python (15+ years) • Strong proficiency in OOP, Design Patterns, and Clean Code practices • Experience with REST APIs, Microservices, and Event-driven architectures AI / Machine Learning • Machine Learning: Scikit-learn, XGBoost, LightGBM • Deep Learning: TensorFlow, Keras, PyTorch • Generative AI & LLMs: OpenAI, Hugging Face, LangChain, Llama, RAG architectures • Natural Language Processing (NLP), Computer Vision (CV), Time Series Analysis • Model evaluation, optimization, and hyperparameter tuning Data Engineering & Analytics • Data processing: Pandas, NumPy, Dask, Spark • Databases: SQL, NoSQL (MongoDB, Cassandra) • Data Warehousing & Lakes: Snowflake, BigQuery, Redshift, Delta Lake MLOps & DevOps • Model deployment: Docker, Kubernetes • MLOps tools: MLflow, Kubeflow, Airflow • CI/CD pipelines and automated testing for ML systems • Model monitoring, drift detection, and retraining strategies Cloud Platforms • AWS / Azure / GCP (at least one at expert level) • AI services: SageMaker, Azure ML, Vertex AI • Scalable and secure cloud-based AI solutions Leadership & Soft Skills • Proven experience as Technical Lead / Architect • Strong communication and stakeholder management skills • Ability to mentor, coach, and grow high-performing AI teams • Experience working with global and cross-functional teams • Strong problem-solving and decision-making skills