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As an AI Architect, you will be responsible for designing, architecting, and implementing scalable AI-driven solutions leveraging Machine Learning, Deep Learning, and Generative AI technologies. You will lead AI strategy and solution design across LMS platforms, content systems, and enterprise applications, ensuring secure, high- performance, and scalable AI deployments.
Required Skills and Technologies
Key Responsibilities
Employee Benefits
Job ID: 148274629
Skills:
Apis, Gitlab, Software Engineering, LLM-based systems, vector search, embeddings, Gemini API, prompt handling, RAG pipelines, CI CD
Skills:
Docker, Microsoft Azure, Azure DevOps, Kubernetes, Azure Key Vault, HNSW, Pinecone, Azure OpenAI, GitHub Actions, OpenTelemetry, OpenAI APIs, Azure AI Search, Application Insights, Azure Cognitive Services, Generative AI LLM Expertise, Vector databases, AKS, FAISS, RAG Architecture, Embedding models, CI CD pipelines, Milvus, IVF, Azure Monitor, Weaviate
Skills:
systems architecture , AWS IAM, Authentication, Data-driven decision making, AI-assisted development workflows, Distributed systems patterns, High-scale systems, Cloud-native architectures, Automation and intelligent tooling, Event-driven architectures, Authorization, Secrets management, Observability
Skills:
Uipath, Power Automate, SQL Server, Orchestrator, Python, AI Agents, Power Apps, AI Builder, Model-driven Power Apps, LLM-based workflows, Microsoft Power Platform, UiPath Studio, Document Understanding
Skills:
Node.js, Backend Development, Gcp, Cloud Infrastructure, Azure, Ocr, Python, AWS, parsing, PDF processing, Stripe payments, LLMs AI APIs, SaaS products, webhook handling
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