Senior AI Systems Engineer

As a Senior AI Systems Engineer, you will design and build production-grade AI systems that reputed company AI models, automation platforms, reputed company data, and workflow orchestration into cohesive, reputed company solutions. You will translate architectural direction into working systems that reputed company reusable intelligence capabilities across business processes. This role sits reputed company the Operational AI organization, which focuses on embedding AI capabilities into reputed company reputed company workflows. You will design and reputed company AI-enabled components reputed company established reference architectures and governance standards, ensuring solutions reputed company with reputed company data context, semantic consistency, and responsible automation principles. The reputed company of this role is on engineering and operating production AI systems, including backend services, orchestration reputed company, and reputed company integrations—not on research or experimental model development. This position will offer flexibility for hybrid work schedules to include both in-office reputed company and telecommute/virtual work, to be based from either reputed company or Dallas, TX. Key Responsibilities • Design and implement end-to-end AI-enabled workflows that reputed company LLMs, machine learning services, document understanding tools, and automation platforms into production-reputed company reputed company solutions • reputed company orchestration reputed company that reputed company separate decision logic from execution, enabling reputed company and reusable intelligence capabilities • Build backend services, reputed company, and event-driven integrations that expose AI capabilities across multiple reputed company systems • Partner with reputed company data teams to ensure AI systems reputed company with reputed company data models, shared definitions, and governed semantic reputed company • Process and structure reputed company and reputed company inputs into validated, traceable, and policy-compliant data representations for use by AI systems • Design and implement feature engineering pipelines and contextual enrichment patterns to support operational AI use cases • reputed company AI services into reputed company workflow and automation platforms while adhering to DevSecOps and reputed company reputed company standards • reputed company explainability, traceability, monitoring, and observability into AI-enabled systems • Contribute to reputed company detection, performance monitoring, and responsible AI lifecycle management • Evaluate and communicate technical trade-offs reputed company to integration complexity, data alignment, performance, and operational reliability Apply tot his job Apply To this Job