Website:
ltm.com
Job details:
Role description
Job Title Senior Agentic AI MLOps Engineer AIOps LLMOps Agentic Platforms
Experience Level 5-10 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
Click on Apply to know more.