Senior Artificial Intelligence Engineer

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

Required Skills & Experience

• 7-8 years of experience in cloud or platform engineering, with strong exposure to AI systems and production

environments.

• Deep hands-on expertise in Azure services, including Azure Functions, App Service, Azure AI Document

Intelligence, Azure AI Search, and Azure OpenAI.

• Strong understanding of large language models, embeddings, RAG, prompt and context management, and

agentic architectures.

• Proficiency in at least one programming language: Python, C#, or Node.js.
• Hands-on experience with infrastructure as code using Bicep, Terraform, or equivalent tools.
• Strong DevOps, platform reliability, and application security mindset.
• Experience with agent frameworks such as LangGraph, Semantic Kernel, AutoGen, or similar technologies.
• Knowledge of AI compliance, responsible AI practices, privacy, and enterprise data governance.

Senior AI Engineer | Job Description Page 2

• Ability to troubleshoot complex distributed systems and improve scalability, resilience, and performance.