5 production scheduler jobs found in UNAVAILABLE, UNAVAILABLE

Basic Qualifications Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.   CLEARANCE REQUIREMENTS: : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position What You'll Own Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source). Data-to-insight pipelines. Implement document ingestion workflows that transform...

Basic Qualifications Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.   CLEARANCE REQUIREMENTS: : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position What You'll Own Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source). Data-to-insight pipelines. Implement document ingestion workflows that transform...

Basic Qualifications Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.   Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position ROLE AND POSITION OBJECTIVES:   DevSecOps Engineer — AIOps Team   As a DevSecOps Engineer on our AIOps team, you'll be a core member of a high-performing, cross-functional team responsible for modernizing critical enterprise systems through secure-by-design automation, AI-powered infrastructure, agentic AI workflows, and hardened deployment pipelines. You won't just write scripts — you'll engineer complete, security-integrated automation solutions from the ground up, embedding security controls into AI agents, Model Context Protocol (MCP) servers, and...

Basic Qualifications Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience. Responsibilities for this Position What You'll Own SLOs and reliability metrics. Define service level objectives for every AI service that goes to production. Establish error budgets and use them to drive engineering decisions — not just measure uptime. Monitoring and observability. Build and maintain monitoring, logging, and alerting infrastructure for AI services. You will know when something is degrading before users do. Incident response. Establish incident management procedures, lead post-incident reviews, and drive corrective actions. When something breaks, you coordinate the response and ensure it doesn't break the same way again. Operational readiness reviews. Before any AI service goes...

Basic Qualifications Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience. Responsibilities for this Position What You'll Own Domain ontologies. Design and maintain semantic schemas that describe key engineering and manufacturing entities — products, BOMs, plants, equipment, processes, work orders — and their relationships across systems. Knowledge graphs. Implement ontologies using semantic web or graph technologies (RDF/OWL/SHACL/SPARQL or property-graph equivalents like Neo4j). Build, query, validate, and tune knowledge graphs in production. Data alignment. Integrate heterogeneous data sources — PLM, ERP, MES, CMMS, QMS, data lakes — into a common vocabulary. Align schemas, code sets, and master data to the ontology so AI services see one coherent picture....