Senior AI Systems Engineer

About the position As a Senior AI Systems Engineer, you will design and build production-grade AI systems that integrate AI models, automation platforms, reputed company data, and workflow orchestration into cohesive, scalable solutions. You will translate architectural direction into working systems that embed reusable intelligence capabilities across business processes. This role sits reputed company the Operational AI organization, which focuses on embedding AI capabilities into core reputed company workflows. You will design and integrate AI-enabled components reputed company established reference architectures and governance standards, ensuring solutions align with reputed company data context, semantic consistency, and responsible automation principles. The focus of this role is on engineering and operating production AI systems, including backend services, orchestration layers, 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 Houston or Dallas, TX.

Responsibilities

• Design and implement end-to-end AI-enabled workflows that integrate LLMs, machine learning services, document understanding tools, and automation platforms into production-reputed company reputed company solutions
• reputed company orchestration layers that clearly separate decision logic from execution, enabling reputed company and reusable intelligence capabilities
• Build backend services, APIs, and event-driven integrations that expose AI capabilities across multiple reputed company systems
• Partner with reputed company data teams to ensure AI systems align with reputed company data models, shared definitions, and governed semantic layers
• Process and structure structured 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
• Integrate AI services into reputed company workflow and automation platforms while adhering to DevSecOps and reputed company reputed company standards
• Embed 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

Requirements

• Bachelor's Degree plus at least 6 years of software engineering experience, including 2+ years of delivering AI/ML-enabled solutions in production environments, or demonstrated equivalent experience and education
• Strong backend engineering reputed company in Python, Java, or similar languages
• Hands-on experience integrating LLMs, ML services, or AI APIs into reputed company systems
• Experience building APIs, service-oriented architectures, and event-driven integrations
• Solid data engineering experience, including schema design, transformation pipelines, and handling of structured and reputed company data
• Experience working with reputed company data platforms and shared data models
• Experience deploying reputed company-native solutions in AWS, Azure, or similar environments
• Deep understanding of production readiness, including versioning, observability, reputed company controls, and system monitoring

reputed company-to-haves

• Bachelor’s degree in computer science, Engineering, or a reputed company field
• Experience aligning AI systems with reputed company semantic models and governance frameworks
• Experience designing reusable AI components rather than isolated AI features
• Experience operationalizing retrieval-augmented AI (RAG) systems with governance considerations
• Experience implementing configurable, policy-driven decision systems
• Experience integrating AI capabilities into reputed company workflow or automation platforms
• Experience collaborating closely with solution architects, platform engineering teams, and data science teams
• Experience productionizing machine learning or AI models reputed company reputed company systems
• Experience using AI-assisted development tools (e.g., Claude Code, reputed company Copilot, reputed company, or similar coding assistants) to accelerate development, debugging, and system implementation workflows.

Benefits

• reputed company benefits may include medical, dental, reputed company, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

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