Senior AI Engineer - Agentic Systems

IBM

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Work type
On-site
Location
Dallas, TX
Posted
6 days ago

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Senior AI Engineer - Agentic Systems

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We are seeking a senior AI engineer to join our dynamic team in a client-facing role focused on enterprise AI engagements. This position requires deep expertise in agentic AI and involves designing, building, and deploying complex AI workflows using Azure OpenAI and related frameworks. You will develop prompt engineering strategies, build RAG pipelines, and implement agent orchestration patterns for production-grade model deployment. Additionally, you will engage directly with clients to gather requirements and demonstrate technical solutions while collaborating with cross-functional teams to ensure seamless integration. Key responsibilities include deploying AI models on Azure ML services, integrating capabilities via APIs, and establishing monitoring systems to maintain performance in production environments. Ideal candidates have 7+ years of experience in scalable AI applications, agentic frameworks like LangChain, vector databases for RAG implementations, and MLOps practices for CI/CD pipelines.

Skills

Azure Agentic AI Prompt Engineering RAG Pipelines LangChain LangGraph MLOps CI/CD Azure ML Azure AI Studio API Integration Event-Driven Pipelines Microservices Monitoring Evaluation Feedback Loops Security Scalability Compliance LLMs Vector Databases Enterprise APIs Workflow Platforms AI Governance Logging Guardrails Human-in-the-loop

What you'll do

  • Design, build, and deploy agentic AI workflows using Azure OpenAI.
  • Develop prompt engineering strategies to enhance model performance and reliability.
  • Build Retrieval-Augmented Generation (RAG) pipelines for context-aware responses.
  • Implement agent orchestration patterns including tool calling and memory management.
  • Deploy and manage AI models on Azure ML and related services.

What we're looking for

  • 7+ years of experience in designing, developing, and deploying scalable AI applications using LLMs.
  • Expertise in building and operationalizing agentic AI workflows with frameworks like LangChain and LangGraph.
  • Proficient in implementing RAG pipelines for grounded, context-aware AI responses.
  • Strong skills in deploying and managing AI models on Azure ML and Azure AI Studio.
  • Experience in integrating enterprise-grade APIs and vector databases into AI-enabled business processes.

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