Senior AI Engineer: Agentic Systems on Azure

IBM

New York (NY)

On-site

USD 140,000 - 200,000

Full time

14 days+
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Job summary

IBM Consulting is seeking a senior AI Engineer to lead hands-on development of agentic AI workflows on Azure OpenAI. You will design end-to-end RAG pipelines, implement tool calling, and work with client teams to deliver production-grade AI solutions.

Applicants should have deep expertise in responsible AI, MLOps, and cloud-native deployment. You will collaborate with data engineers, architects, and business stakeholders to ensure scalable, secure, and compliant integration across enterprise

Qualifications

  • 7+ years designing, developing, and deploying scalable AI applications with LLMs, RAG, and agentic AI workflows.
  • Experience with frameworks like LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI.
  • Knowledge of vector databases and MLOps practices for AI deployment and lifecycle management.

Responsibilities

  • Design, build, and deploy agentic AI workflows and multi‑agent systems on Azure OpenAI.
  • Develop and optimize prompt engineering strategies to maximize model performance.
  • Build and maintain RAG pipelines for grounded, context‑aware responses.
  • Implement agent orchestration patterns including tool calling, memory management, and human‑in‑the‑loop workflows.
  • Engage with client stakeholders to gather requirements and demo capabilities.
  • Deploy and manage AI models using Azure ML and Azure AI Studio; integrate AI into enterprise apps via APIs and data pipelines.

Skills

Agentic AI workflows
Prompt engineering
RAG pipelines
Azure services
LangChain
LangGraph
AutoGen
Semantic Kernel
CrewAI
Vector databases
MLOps
CI/CD
Enterprise integration
Tool calling

Education

Master's Degree

Tools

Azure OpenAI
Azure ML

Job description

IBM Consulting is seeking a senior AI Engineer to lead hands-on development of agentic AI workflows on Azure OpenAI. You will design end-to-end RAG pipelines, implement tool calling, and work with client teams to deliver production-grade AI solutions.

Applicants should have deep expertise in responsible AI, MLOps, and cloud-native deployment. You will collaborate with data engineers, architects, and business stakeholders to ensure scalable, secure, and compliant integration across enterprise

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