- Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints
- Translate product and customer requirements into production grade AI system designs
- Drive rapid iteration of deployment while maintaining system reliability and safety
- Participating in peer-reviews of solution designs and related code
- Working with teammates to dive efβiciencies to development procedures
- Analyzing and resolving technical problems
- Deβining standards for the platform to deliver AI solutions
- Balance learning-based approaches with deterministic or rules-based components where appropriate
- Support customer-facing and sales technical discussions when AI and platform expertise is required
Requirements
- BS or above in Computer Science, Data Science, AI Engineering or technical equivalent.
- 3 to 5+ years in applied AL / ML solution development
- 3+ years Software Development experience using the Python ecosystem
- An agile self-starter with a software craftsmanship mindset and the ability to act on their own initiative and self-direct.
- Experience dealing with uncleaned real-world data.
- Experience working with domain experts to improve problem definitions, metric selection, and feature selection.
- Experience working with a globally distributed team in different time zones.
Advantageous Experience/Skills:
- 2+ years building agentic AI using common frameworks / MCP
- At least 1+ years developing RL agent/ LLMs & RAG/ anomaly prediction & forecasting solutions
- 2+ years IoT and Timeseries data manipulation
- 2+ years AWS cloud and/or Docker
- Proficiency with MLOps
- Digital twins, physical models / simulators, or model-based RL
- Experience using AI for industrial process control
- Working Knowledge of Test-Driven Development
- Working knowledge of SOC2 & ISO 27001 standards
- Experience working in the water industry
- AI certifications