Senior AI Engineer - Azure Cloud & LLMs

Ascendion Engineering; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Ascendion Engineering in the United States is seeking a Senior AI Engineer to design and deliver cloud-native AI platforms on Azure. You will productionize models, embeddings, and RAG pipelines, ensuring scalable, reliable distributed systems.

This role requires hands-on coding in Python, C#, or Node.js, IaC with Terraform or Bicep, and experience with LangGraph, Semantic Kernel, or AutoGen. You will collaborate with governance and security teams to implement responsible AI practices.

Qualifications

• 7+ years of experience in cloud or platform engineering, with AI systems in production.
• Deep hands-on expertise in Azure services mentioned above.
• Strong understanding of large language models, embeddings, and RAG.
• Proficiency in Python, C#, or Node.js.
• Hands-on experience with IaC using Terraform or Bicep.
• Strong DevOps, platform reliability, and application security mindset.

Responsibilities

• Troubleshoot and optimize distributed AI systems for scalability, resilience, and performance.
• Architect and implement Azure-based AI platforms and pipelines.
• Collaborate with data science, governance, and security teams to ensure responsible AI practices.

Skills

Azure cloud

LLM / AI models

Embeddings / RAG

Python

C#

Node.js

Infrastructure as Code

Terraform

Bicep

DevOps

Security

LangGraph

Semantic Kernel

AutoGen

Privacy & Governance

Tools

Azure Functions

Azure App Service

Azure AI Document Intelligence

Azure AI Search

Azure OpenAI

Terraform

Bicep

LangGraph

Semantic Kernel

AutoGen

Job description

Ascendion Engineering in the United States is seeking a Senior AI Engineer to design and deliver cloud-native AI platforms on Azure. You will productionize models, embeddings, and RAG pipelines, ensuring scalable, reliable distributed systems.

This role requires hands-on coding in Python, C#, or Node.js, IaC with Terraform or Bicep, and experience with LangGraph, Semantic Kernel, or AutoGen. You will collaborate with governance and security teams to implement responsible AI practices.