AI Analyst

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:
25 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:
Bachelors degree in Computer Science AI Data Science or a related field.
Experience with agent frameworks (LangGraph Semantic Kernel LangChain AutoGenCrewAI).
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 perspectivesbecause 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.