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Requirement ID: 91005
Job Title: AI Architect, AI foundry, Azure,Python
Job Type: Contract
Duration: 6 - 9 months
Location: Dallas,TX
Job Description:

10 + years exp, AI Foundry, Azure ML, Azure OpenAI, Cognitive Services, Python, GitHub / Azure DevOps, ML OPS
Vector database, Agentic framework



Role Descriptions: We are seeking an experienced AI Architect| Azure graph| logic apps to design| develop| and deploy enterprise-grade AIML solutions using Azure AI Foundry| Python| and modern AI frameworks. The ideal candidate will lead architecture decisions| build scalable AI systems| and guide teams in implementing cutting-edge AI solutions including Generative AI (LLMs)| NLP| and predictive models. Key Responsibilities Architecture  DesignDesign end-to-end AI architectures using Azure AI Foundry| Azure OpenAI| and related servicesDefine scalable| secure| and cost-efficient AIML solutionsSelect appropriate models (LLMs| embeddings| ML models) based on use case AIML DevelopmentDevelop AI pipelines using Python| leveraging frameworks likeLangChain  Semantic KernelHugging Face  TransformersPyTorch  TensorFlowBuild and deployChatbots  copilotsRAG (Retrieval-Augmented Generation) systemsForecasting  predictive models Azure AI Foundry  EcosystemWork withAzure AI Foundry (model orchestration| prompt flows)Azure OpenAI ServiceAzure Machine LearningAzure Cognitive ServicesImplement MLOps  LLMOps pipelines Integration  APIsBuild REST APIs and microservices for AI solutionsIntegrate AI systems with enterprise platforms (CRM| ERP| healthcare systems| etc.) Data EngineeringDesign data pipelines usingAzure Data Factory  SynapseDatabricks  SparkHandle structured  unstructured data for AI workloads Governance  Responsible AIEnsure compliance withData privacy policies (HIPAA| GDPR where applicable)ImplementModel monitoringBias detection  explainability Technical SkillsStrong Python programming (must-have)Hands-on with Azure AI Foundry  Azure OpenAIExperience with LLMs| Prompt Engineering| RAG pipelinesAPI development (FastAPI| Flask)Cloud architecture knowledge (Azure preferred) AIML ExpertiseMachine Learning lifecycleNLP  Generative AIModel fine-tuning and evaluation Tools  FrameworksLangChain  Semantic KernelVector databases (FAISS| Pinecone| Azure AI Search)Docker| KubernetesCICD pipelines
Essential Skills: We are seeking an experienced AI Architect| Azure graph| logic apps to design| develop| and deploy enterprise-grade AIML solutions using Azure AI Foundry| Python| and modern AI frameworks. The ideal candidate will lead architecture decisions| build scalable AI systems| and guide teams in implementing cutting-edge AI solutions including Generative AI (LLMs)| NLP| and predictive models. Key Responsibilities Architecture  DesignDesign end-to-end AI architectures using Azure AI Foundry| Azure OpenAI| and related servicesDefine scalable| secure| and cost-efficient AIML solutionsSelect appropriate models (LLMs| embeddings| ML models) based on use case AIML DevelopmentDevelop AI pipelines using Python| leveraging frameworks likeLangChain  Semantic KernelHugging Face  TransformersPyTorch  TensorFlowBuild and deployChatbots  copilotsRAG (Retrieval-Augmented Generation) systemsForecasting  predictive models Azure AI Foundry  EcosystemWork withAzure AI Foundry (model orchestration| prompt flows)Azure OpenAI ServiceAzure Machine LearningAzure Cognitive ServicesImplement MLOps  LLMOps pipelines Integration  APIsBuild REST APIs and microservices for AI solutionsIntegrate AI systems with enterprise platforms (CRM| ERP| healthcare systems| etc.) Data EngineeringDesign data pipelines usingAzure Data Factory  SynapseDatabricks  SparkHandle structured  unstructured data for AI workloads Governance  Responsible AIEnsure compliance withData privacy policies (HIPAA| GDPR where applicable)ImplementModel monitoringBias detection  explainability Technical SkillsStrong Python programming (must-have)Hands-on with Azure AI Foundry  Azure OpenAIExperience with LLMs| Prompt Engineering| RAG pipelinesAPI development (FastAPI| Flask)Cloud architecture knowledge (Azure preferred) AIML ExpertiseMachine Learning lifecycleNLP  Generative AIModel fine-tuning and evaluation Tools  FrameworksLangChain  Semantic KernelVector databases (FAISS| Pinecone| Azure AI Search)Dock

 

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