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Develop and improve hydrogen peroxide vapor decontamination products through new product development, mechanical and process testing, approval test planning, test rig development, reporting, and customer issue investigation. Provide production support by resolving quality and process problems, analyze test results, contribute to DFMEA activities, and collaborate with a multidisciplinary R&D team.

Design, build, and deploy LLM-powered applications, agentic workflows, embedding pipelines, and retrieval systems. Integrate vector stores and cloud platforms, using containerized CI/CD practices for scalable delivery. Monitor production model behavior and optimize performance and cost. The role requires Python development, LLM API integration, Databricks, Snowflake, Azure, agent orchestration, embeddings, vector databases, and API integration experience.

Administer and govern enterprise Microsoft Fabric and Power BI platforms, including capacities, workspaces, gateways, access controls, security, monitoring, and performance optimization. Automate platform operations and deployments with Python, PowerShell, REST APIs, Git, and CI/CD. Lead incident response, troubleshooting, documentation, and continuous improvement while enabling governed AI Agents, Data Agents, semantic models, and Copilot analytics capabilities.

Design, build, and deploy intelligent applications using LLMs, agent orchestration, embeddings, and retrieval systems. Develop scalable AI workflows for summarization, Q&A, decision support, and task automation. Integrate vector stores, Databricks, Snowflake, and Azure cloud services, using containerized CI/CD practices. Monitor production model behavior while optimizing performance and costs.

Drive revenue and profit growth for water treatment programs across assigned institutional accounts. Build customer relationships, execute sales plans, identify operational challenges, provide technical support, analyze systems and data, recommend improvements, and sell innovative technologies. The role covers a Philadelphia-area territory within approximately 50 miles and requires less than 25% overnight travel.

Lead AI Engineers and Data Scientists delivering production-grade GenAI, agentic AI, LLM, RAG, and machine learning solutions. Own architecture, technical direction, delivery, MLOps, cloud deployment, observability, security, model quality, and continuous improvement. Translate business priorities into executable plans, establish SDLC and operational practices, develop reusable AI frameworks, and partner across product, platform, security, and engineering teams. Manage hiring, coaching, performance development, and team growth while serving as the primary technical and delivery escalation point.

Designs, builds, and deploys LLM-powered intelligent systems, including agentic workflows, embedding pipelines, RAG solutions, and cloud-native AI applications. Develops scalable applications for summarization, Q&A, and decision support; integrates Databricks, Snowflake, vector stores, and APIs; deploys containerized services through Azure CI/CD; and monitors production models for performance and cost efficiency.

Design, build, and deploy LLM-powered applications, agentic workflows, and embedding-based retrieval systems. Develop scalable AI workflows using Python, Databricks, Snowflake, vector databases, and cloud-native Azure infrastructure. Implement containerized CI/CD delivery, integrate APIs, monitor production model behavior, and optimize performance and cost.

Design, build, and deploy LLM-powered applications, agentic workflows, embedding pipelines, and retrieval systems. Integrate vector stores, Databricks, Snowflake, and Azure cloud services using containerized CI/CD practices. Monitor production model behavior while optimizing performance, scalability, and cost.

Leads AI Engineers and Data Scientists delivering production-grade GenAI, agentic AI, LLM, and machine learning solutions. Owns architecture, technical direction, delivery, MLOps, cloud-native deployment, observability, security, responsible AI, and operational excellence. Translates product goals into engineering plans, manages technical dependencies, establishes SDLC and build-own-operate practices, and drives reusable frameworks. Also handles hiring, coaching, performance development, stakeholder collaboration, KPI tracking, and escalation management.