AI Engineer

In this Role, Your Responsibilities Will Be:
• Analyze and triage AI-related requests, determining feasibility and identifying appropriate
AI/agent-based solutions.
• Design and develop AI agents and copilots using modern agent frameworks (e.g.,
LangChain, Semantic Kernel, AutoGen, CrewAI).
• Integrate AI agents with enterprise business systems using REST APIs, event-driven
architectures, and MCP.
• Build and orchestrate multi-step agent workflows including memory, planning, and tool
usage.
• Deploy, test, and monitor AI solutions using Azure AI Foundry and related Azure AI
services.
• Support teams in adopting AI solutions through reusable components and documentation.
• Collaborate with stakeholders to translate business use cases into scalable AI solutions.
• Participate in PoCs, pilots, and production rollouts.
• Ensure alignment with enterprise architecture, security, and responsible AI practices.
• Document architectures, patterns, and best practices for reuse.
Who You Are:
You are a technically strong and curious professional with hands-on experience in building and
deploying AI-powered solutions. You are comfortable working in evolving environments and can
translate business problems into practical AI implementations.

For This Role, You Will Need:
• 2–5 years of experience in software development, AI/ML, or automation engineering.
• Strong hands-on experience in Python and AI/ML tooling.
• Experience building AI agents, copilots, or LLM-based applications.
• Experience integrating applications using APIs, microservices, and MCP.
• Exposure to Azure AI Foundry or similar cloud AI platforms.
• Understanding of prompt engineering, RAG, and agent architectures.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.

Preferred Qualifications that Set You Apart:
• Bachelor’s degree in Computer Science, AI, Data Science, or a related field.
• Experience with agent frameworks (LangGraph, Semantic Kernel, LangChain, AutoGen,CrewAI).
• Experience deploying solutions using Azure AI Foundry pipelines.
• Experience integrating AI into enterprise systems such as ERP or CRM.
• Exposure to AI observability, evaluation, and monitoring practices.
• Knowledge of security, compliance, and responsible AI frameworks.
• Ability to communicate complex AI concepts in a simple manner

Our Culture & Commitment to You:
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.