Job Description:
Design end-to-end AI/ML architecture including data ingestion model training inference and monitoring systems
Define technical standards best practices and governance frameworks for AI/ML implementations
Architect scalable GenAI solutions including LLM deployments RAG systems and multimodal AI applications
Lead architectural reviews and provide technical guidance to development teams
Design integration patterns between AI services and existing enterprise systems
Evaluate and recommend AI/ML technologies platforms and vendor solutions
Create technical roadmaps aligned with business objectives and AI strategy
Assess technical feasibility of AI use cases and provide effort estimations
8 years of experience in software architecture with 3 years focused on AI/ML systems
Strong experience with cloud platforms (Azure preferred) and distributed systems architecture
Deep understanding of LLM architectures transformer models and generative AI patterns
Experience with MLOps tools and practices (Azure ML Docker Kubernetes)
Proficiency in Python and familiarity with AI/ML frameworks (PyTorch TensorFlow Hugging Face)
Experience with Azure AI Foundry LangChain LangGraph and Copilot Studio
Strong technical leadership and mentoring capabilities
Experience with microservices architecture API design and event-driven systems
Job Description: Design end-to-end AI/ML architecture including data ingestion model training inference and monitoring systems Define technical standards best practices and governance frameworks for AI/ML implementations Architect scalable GenAI solutions including LLM deployments RAG ...
Job Description:
Design end-to-end AI/ML architecture including data ingestion model training inference and monitoring systems
Define technical standards best practices and governance frameworks for AI/ML implementations
Architect scalable GenAI solutions including LLM deployments RAG systems and multimodal AI applications
Lead architectural reviews and provide technical guidance to development teams
Design integration patterns between AI services and existing enterprise systems
Evaluate and recommend AI/ML technologies platforms and vendor solutions
Create technical roadmaps aligned with business objectives and AI strategy
Assess technical feasibility of AI use cases and provide effort estimations
8 years of experience in software architecture with 3 years focused on AI/ML systems
Strong experience with cloud platforms (Azure preferred) and distributed systems architecture
Deep understanding of LLM architectures transformer models and generative AI patterns
Experience with MLOps tools and practices (Azure ML Docker Kubernetes)
Proficiency in Python and familiarity with AI/ML frameworks (PyTorch TensorFlow Hugging Face)
Experience with Azure AI Foundry LangChain LangGraph and Copilot Studio
Strong technical leadership and mentoring capabilities
Experience with microservices architecture API design and event-driven systems
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