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:
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:
Github, Jira, Docker, Kubernetes, Azure DevOps, Generative AI, LLMs, Cloud AI platforms, Claude ecosystem, Vector databases, GitHub Copilot Enterprise, Agentic AI, Agent frameworks, Background task and queue systems, RAG, API architecture
Skills:
Node.js, Jira, Gcp, FastAPI, Azure, Python, AWS, Generative AI, Vector databases, AI Governance, Pinecone, Multi-cloud AI platform architecture, AI-assisted development tools, Milvus, Weaviate
Skills:
data engineering , bedrock , Ml, S3, Dynamodb, Big Data, Tensorflow, Lambda, MLops, Pytorch, ECS, Iam, Aws Cloud, Python, Generative AI, Hugging Face, Ai, CI CD, EKS, SageMaker
Skills:
data engineering , bedrock , S3, Dynamodb, Big Data, Tensorflow, Lambda, Pytorch, MLops, ECS, Iam, Aws Cloud, Python, Ml, Generative AI, Hugging Face, EKS, SageMaker, Ai, CI CD