Azure AI Agent Engineer for Enterprise-Scale Solutions

Polestar Analytics is hiring two AI Engineers to join our on-site delivery team in the tri-state area. You will be building and deploying production-grade AI agents and agentic systems on Microsoft Azure infrastructure, using Azure AI Foundry as the primary platform. This is a hands‑on engineering role focused on designing, developing, and operationalizing AI agents that solve real business problems at enterprise scale. Key Responsibilities Design, build, and deploy AI agents and multi‑agent systems using Azure AI Foundry and the Azure AI Agent Service. Implement agentic architectures including tool use, function calling, retrieval‑augmented generation, memory, planning, and orchestration patterns on Microsoft Azure infrastructure. Integrate agents with enterprise data sources, APIs, and downstream systems using Azure‑native services such as Azure Functions, Logic Apps, API Management, AI Search, and Cosmos DB. Develop, evaluate, and iterate on prompts, model configurations, and agent workflows using Foundry's prompt flow, evaluation, and observability tooling. Apply responsible AI practices including content safety, grounding, evaluation metrics, and guardrails. Collaborate closely with the Solution Architect, data engineers, and client stakeholders to translate requirements into working agent‑based solutions. Operationalize agents with proper CI/CD, monitoring, logging, versioning, and cost management. Continuously evaluate new capabilities in Azure AI Foundry and recommend their adoption where appropriate. Required Qualifications 5 years of overall experience in software engineering, data science, machine learning, or AI engineering roles. 1 to 2 years of hands‑on experience with AI agents, meaning building and deploying agentic systems rather than just calling LLM APIs. Strong working knowledge of Azure AI Foundry, including the model catalog, agent service, prompt flow, and evaluation tooling. Demonstrated experience deploying AI workloads on Microsoft Azure infrastructure including Azure OpenAI, Azure AI Search, Azure Functions, Azure Container Apps or AKS, and related services. Solid programming skills in Python, and ideally C# or TypeScript, for building agent backends and integrations. Experience with frameworks and patterns relevant to agentic systems such as function calling, tool orchestration, RAG, vector databases, prompt engineering, and evaluation. Strong grasp of LLM fundamentals including tokenization, context management, embeddings, and the trade‑offs between fine‑tuning and RAG. Familiarity with MLOps and LLMOps practices including CI/CD for AI, monitoring, evaluation pipelines, and prompt versioning. Excellent problem‑solving skills and the ability to work directly with client stakeholders on‑site. Must be based in or willing to work on‑site in the NY/NJ tri‑state area. Preferred Qualifications Microsoft certifications such as Azure AI Engineer Associate (AI‑102) or Azure Data Scientist Associate. Experience with Semantic Kernel, AutoGen, LangChain or LangGraph, or similar agent orchestration frameworks, especially in conjunction with Azure. Experience integrating agents with Microsoft 365, Copilot Studio, or Teams. Exposure to enterprise concerns including identity through Entra ID, networking, content safety, data governance, and compliance. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. #J-18808-Ljbffr Polestar Analytics