Associate Director at HCL Technologies

11-15 Years

Technical Skills (APPS)-Programming Languages-Python Programming

Bachelor of Technology/ Engineering

California

Infrastructure-Technical

Business Line FT

Enterprise Solution Architect

AI Systems ArchitectAn AI Systems Architect plays a critical role in designing and overseeing the end-to-end architecture of AI-driven systems. This role blends deep technical expertise in AI/ML with strong systems design, software engineering, and cloud infrastructure knowledge. Below are the key skills grouped by category:Core Technical SkillsAI/ML FundamentalsMachine learning algorithms (supervised, unsupervised, reinforcement learning)Deep learning (CNNs, RNNs, Transformers)Generative AI (LLMs, GANs, diffusion models)Model EngineeringModel selection, training, fine-tuning, evaluationPrompt engineering & retrieval-augmented generation (RAG)Knowledge of popular frameworks (TensorFlow, PyTorch, Hugging Face, LangChain)System DesignEnd-to-end architecture for scalable AI systemsReal-time inference and batch processing pipelinesData flow and orchestration (e.g., using Apache Airflow, Kubeflow)Data EngineeringData ingestion, preprocessing, and transformationData lakes and warehouses (Delta Lake, Snowflake, BigQuery)Feature engineering pipelinesSoftware EngineeringMicroservices and API designPython, Java, or Scala proficiencyCI/CD pipelines (GitHub Actions, Jenkins, etc.)Cloud & InfrastructureCloud AI platforms (AWS Sagemaker, Azure ML, Google Vertex AI)Kubernetes, Docker, and ML model deployment at scaleMonitoring and observability tools (Prometheus, Grafana, MLFlow) (1.) To mentor technical and solution architects along with self knowledge up-gradation and learning (2.) To perform engagement level Delivery governance (3.) To provide solution in business transformation by participating in RFP/RFI; Due Diligence; Pre Sales support and Oversee POC (4.) To provide solutions for IT optimization| Business Aligned IT| Enterprise architecture and roadmap creation| transformation| Business/Product acquisition & mergers and APO

CSW

Santa Clara

Data Science-Artificial Intelligence-TensorFlow

Technical Skills (APPS)-Artificial Intelligence (Testing)-Natural Language Processing-NLP(Testing)