Innovation Engineer

Description

• Collaborate with ML/AI leads to integrate LLMs and autonomous agents into existing and new solution pipelines.
• Stay current with emerging research and tools in Machine Learning, agentic AI, reinforcement learning, and multiagent systems.
• Design and implement agentic AI systems, including singleagent and multiagent architectures, for applications in water infrastructure, forecasting, optimizations, and operations.
• Document methodologies, share learnings, and contribute to internal knowledge bases and Communities of Practice.
• Translate domainspecific challenges into scalable AI solutions, working closely with water engineers and project teams.
• Contribute to the development of exploratory prototypes and productionready tools that leverage agentic reasoning, planning, and collaboration.
• Support the MLOps lifecycle, including model tracking (e.g., MLflow), deployment, and monitoring within Azure DevOps and Databricks environments.

Requirements

• Experience or interest in water systems, environmental modeling, or Microsoft Azure SDKs such as AI Foundry is a plus.
• 5+ years total professional experience, 1+ of handson experience in machine learning and AI development, with exposure to agentic AI concepts (e.g., autonomous agents, multiagent coordination, LLMbased agents).
• Strong communication skills and ability to collaborate across technical and nontechnical teams.
• Strong programming skills with Python, PyTorch or TensorFlow, and cloudbased ML platforms (preferably Azure). Skills in multiple languages (e.g., Java, Node.js) is a benefit.
• Master’s+ degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
• Familiarity with LLM frameworks (e.g., LangChain, AutoGen, OpenAI APIs) and multiagent orchestration tools. Handson experience building AI agents with LLMs, including RAG, using these frameworks is preferred.
• Understanding of MLOps practices, including CI/CD pipelines, model versioning, and monitoring.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance