Senior Agentic AI MLOps Engineer

Specialist - Data Sciences

Job Title Senior Agentic AI MLOps Engineer AIOps LLMOps Agentic Platforms

Experience Level 510 years

Job Summary

We are seeking a highly experienced Agentic AI MLOps Engineer with deep expertise in designing building and operating enterprisegrade AI platforms across Azuremanaged services The role focuses on endtoend MLOps LLMOps and AIOps capabilities including agentic architectures scalable ML lifecycle management observability and automated operations The ideal candidate will have strong handson experience with MLflow 3 LangGraph AgenttoAgent A2A patterns Azure AI Data platforms and productiongrade CICD for AI systems

Key Responsibilities

Design and implement endtoend MLOps and LLMOps pipelines covering data ingestion model training validation deployment and monitoring

Build and operate Agentic AI workflows using LangGraph LangChain ecosystem and AgenttoAgent A2A communication patterns

Implement ML lifecycle tracking model registry experimentation and governance using MLflow 3 integrated with Azure ML and Databricks

Develop and operationalize AIOps solutions for proactive monitoring anomaly detection rootcause analysis and automated remediation

Architect scalable AI solutions on Azure Managed Services including Azure AI Foundry Azure Machine Learning Azure Databricks AKS and Azure Functions

Design CICD pipelines for ML and LLM workloads using GitHubGitLab Azure DevOps Docker and Kubernetes

Implement RetrievalAugmented Generation RAG pipelines using vector databases and enterprise data sources

Ensure production observability using logs metrics traces and promptmodel monitoring

Collaborate with platform data and application teams to standardize AI platform architecture and best practices

Drive architectural decisions mentor engineers and contribute to AI platform roadmap and governance

Required Skills Expertise

Agentic AI LangGraph LangChain multiagent orchestration A2A communication patterns toolbased agents

MLOps LLMOps MLflow 3 Azure ML SDK v2 Databricks ML Model Registry Feature Stores CICD for ML

Cloud Managed Services Azure Azure AI Foundry Azure Machine Learning Azure AI Search Azure Databricks AKS Azure Functions Event Grid Service Bus Kafka

LLM GenAI RAG prompt engineering semantic search embeddings vector databases Pinecone FAISS ChromaDB

Programming Python advanced REST APIs FastAPIFlask

AIOps Model system observability monitoring Gen AI and Agentic AI outcome reliability

Data Platforms Snowflake Azure Cosmos DB

Observability Monitoring Azure Monitor Azure Application Insights Azure Log Analytics

Security Governance Model governance access control responsible AI compliance in enterprise environments

Preferred Qualifications

Experience building enterprise AI platforms

Handson experience with eventdriven and asynchronous agent architectures

Strong understanding of distributed systems and cloudnative design

Experience mentoring teams and leading architecturedesign reviews

Masters or PhD in Computer Science AI Data Science or a related field