Design and deploy autonomous AI agents capable of executing complex business processes across enterprise systems. Implement robust security guardrails, threat mitigation strategies, and observability frameworks to ensure reliable and secure agent performance.
The Core Applied AI Engineer will be responsible for agentifying critical business processes end-to-end using context and harness engineering. They will collaborate with cross-functional teams to implement AI solutions and analyze data to drive informed decision-making.
The AI Lead Project Manager is responsible for the end-to-end delivery of substation Edge AI products, managing technical integration across hardware, software, and AI/ML workstreams. They serve as the primary technical interface for partners and stakeholders while overseeing integration testing, field deployment, and operational readiness.
The Lead Privacy Engineer will design and operationalize advanced de-identification, anonymization, and encryption capabilities for Project Trinity. This role involves translating complex privacy and regulatory requirements into technical controls across data pipelines and platform architectures.
The consultant will design, develop, and deploy enterprise-grade workflow orchestration solutions using Temporal. They are responsible for migrating legacy BPM systems and ensuring resilient execution across distributed environments.
Design and build production-grade AI applications using LLMs, RAG, and agentic workflows. Manage full-stack development, cloud deployment, and integration of AI models into enterprise systems.
The Senior CorVision Developer will serve as the primary subject matter expert for critical legacy platforms including OpenVMS, CorVision, and RDB. They will also support modernization efforts by assisting in data migration and process mapping as systems transition to cloud-aligned platforms.
