AI Architect
- Posted a month ago
- Over 100 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
More Info
Job Type:
Industry:
Function:
Employment Type:
About Company
Skills:
data engineering , Distributed Systems, PostgreSQL, Testing Automation, FastAPI, Python, LangChain, pgvector, Qdrant, API Design Integration, LangGraph, Cloud-Native Architecture
Skills:
WMS), Enterprise platforms (ERP, MLops, Software Engineering, Reasoning engines, LangChain, CrewAI, Planning Modules, Tool API integration, LLMs, LLM-driven autonomy, LLMOps, AI agent ecosystems, Perception interfaces, AI/ML system development, Agentic AI systems, AutoGen, CRM, Scm, Multi-agent systems, Distributed AI systems, Memory systems
Skills:
Microservices, Docker, AWS, Java, Apis, Gcp, MLops, Azure, Kubernetes, Data Privacy, GenAI LLMs, Explainability, LangGraph, Embeddings, LangChain, CrewAI, AI-driven SDLC, AI Security, LLMOps, AI Observability, Multi Agent AI, Guardrails, Governance, AutoGen, Agentic AI, RAG, DevOps CI-CD integration, Responsible AI, Prompt Engineering
Skills:
System Architecture, Python, Gen AI, ML Ops, LLM Ops, Fast API, Responsible AI, Database Integration
Skills:
Machine Learning, Sql, Gcp, MLops, Azure, Python, AWS, Data lakes, LLM ecosystems, GenAI, Deep Learning frameworks, AI deployment frameworks, R, AI governance