AI Architect
- Posted a month ago
- Over 50 applicants have applied
Job Description
Key deliverables:
- Develop AI automation scripts using Python and OpenAI API
- Deploy GenAI solutions and workflows in Azure
- Implement LLM-powered applications with Langchain
- Integrate AI tools with Azure Cognitive and Bot Services
Role responsibilities:
- Design and build scalable AI/ML models and pipelines
- Lead Azure-based GenAI deployments and orchestration
- Collaborate with data scientists and developers on solution design
- Optimize model performance and ensure reliability in production
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About Company
Skills:
snowflake , MLops, Gcp, Databricks, Azure, AWS, GenAI, LLMOps, Data engineering pipelines, Palantir, Agentic AI solutions, Llm, AI ML Data Science
Skills:
data engineering , Cloud Architecture, Databases, Microsoft Azure, Python, AWS, Oauth, Google Cloud Platform, Api Development, Distributed Systems, Model fine-tuning, JSON-RPC, Microservices architecture, GraphRAG, Generative AI, LLMOps, AI evaluation frameworks, MCP REST APIs, AI architecture, LoRA, SQL agents, QLoRA, Advanced retrieval architectures, Event-driven architectures
Skills:
Servicenow, Automated Testing, Nlp, Javascript, Python, Rest Apis, embeddings, vector search, event-driven patterns, Privacy, AI CrewAI, LangGraph, Evaluation, responsible AI, Security, LLM-powered applications, chatbots, model evaluation techniques, observability, tracing, RAG patterns, Monitoring, AI assistants, voicebot
Skills:
Java, Nlp, Git, Python, AI Architecture, embeddings, vector search, RAG patterns, AI Fundamentals, Evaluation, cloud-based delivery, retrieval, NLU
Skills:
Java, Api Integration, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, Vector databases, Hugging Face, Pinecone, Llm, Gen AI, LangGraph, microservices architecture, FAISS, RAG, Weaviate