Job Description

Enterprise AI Architecture: Enterprise AI strategy, solution architecture, architecture blueprints, HLD/LLD, AI integration frameworks and scalable AI solution design.
Generative AI & LLM: OpenAI, Azure OpenAI, Claude, Gemini, Llama, prompt engineering, RAG, embeddings and vector databases.
Agentic AI: AI agents, multi-agent orchestration, LangGraph, LangChain, CrewAI, Semantic Kernel, tool/function calling and intelligent workflows.
AI / Machine Learning: Supervised and unsupervised learning, predictive modelling, deep learning, NLP, recommendation engines and advanced analytics.
Advanced Data Engineering: Python, SQL, PySpark, ETL/ELT, Apache Spark, Kafka, batch and real-time data pipelines.
Enterprise Data Architecture: Data Lakehouse, Data Warehouse, Data Mesh, Data Fabric, data modelling and enterprise data integration.
Cloud & AI Platforms: AWS / Azure / GCP, Databricks, Snowflake, Microsoft Fabric and cloud-native AI architectures.
MLOps / LLMOps: AI model deployment, model monitoring, evaluation, lifecycle management, CI/CD and productionisation.
AI Governance & Security: Responsible AI, explainability, model governance, data privacy, security, guardrails and regulatory compliance.
API & Integration Architecture: REST APIs, microservices, API gateways, event-driven architecture and enterprise application integration.

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Last Updated: 12-11-2026 00:23:31 PM