AI Frameworks (LangChain, AutoGen, Azure AI Foundry, Azure AI Agent, CrewAI, LangGraph, Google ADK)
Model Context Protocol (MCP), Agent to Agent Protocol
N-8-N
GuardRails, AI Ethics and Regulations
Prompt Engineering : “Expertise in prompt engineering, LLM operations, and GenAI deployment best practices.”
Distillation, RAG, Fine-tuning
Multi-modal AI, LLMs
Vector Databases, Embeddings
GenAI deployment tools (Docker, Kubernetes)
AI Solution Assessment and Optimization
ETL, Data Pipelines, Feature Stores : Experience with tools like Airflow, dbt, MLflow, DVC, Azure ML pipelines.
CI / CD for ML : Automated model retraining, versioning, and monitoring.
Data anonymization, privacy-by-design, secure model deployment : Especially for regulated industries (GDPR, SOX, HIPAA).
Desirable certifications : AI / ML, cloud architecture, relevant technology (e.g., GCP GenAI Leader, AWS AI Practitioner, Azure AI certifications).
Roles & Responsibilities :
Regional AI Technical Lead is a strategic technical leader responsible for designing, implementing, and managing advanced generative AI solutions across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). This role combines deep expertise in generative AI technologies, multi-cloud architecture, and modern software engineering practices to deliver scalable, secure, and innovative AI solutions. The architect leads cross-functional teams, drives technical vision, and ensures alignment between business objectives and AI initiatives.
Strategy & Roadmap
Architecture & Design
Assessment & Optimization
Cloud Platform Integration & Management
MLOps, DevOps & Governance
Leadership & Collaboration
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