Position Description:

Responsibilities:
-Design and architect end-to-end artificial intelligence (AI) and machine learning (ML) solutions, aligned with clients' business needs and strategic objectives.
-Assess client needs and propose tailored AI architectures, including large language models (LLM), RAG (Retrieval-Augmented Generation), AI agents, and MLOps pipelines.
-Define technology choices (cloud platforms, ML frameworks, generative AI tools) and justify trade-offs to stakeholders.
-Collaborate with data, software development, and security teams to ensure the coherent integration of AI solutions into existing systems.
-Design scalable, secure, and responsible architectures (ethical AI, bias, data governance, compliance).
-Support teams in adopting MLOps practices: automation of training pipelines, deployment, monitoring, and model retraining.
-Advise clients on cost optimization for AI model inference and training in cloud...