Lead AI Orchestration Engineer

allegion; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Allegion is seeking a Lead Software Engineer, AI Agents & Orchestration to design and operate scalable AI orchestration frameworks across software engineering functions.

You will work at the intersection of AI engineering, data engineering, and enterprise governance to enable secure, auditable AI outcomes in a security-critical environment. This hybrid role emphasizes collaboration and continuous improvement.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5–7 years of experience in Data/AI/Software engineering or related disciplines.

Responsibilities

• Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform.
• Design and engineer AI orchestration frameworks coordinating models, agents, tools, APIs, and apps.
• Develop agent-to-agent and human-in-the-loop workflows for complex processes.
• Lead implementation of AI context engineering strategies and agent architectures.
• Build reusable orchestration patterns for rapid deployment of AI-enabled capabilities.
• Design scalable data pipelines and data products for AI consumption.
• Implement MLOps, LLMOps, governance, and observability for AI systems.
• Establish Responsible AI guardrails and model risk management.
• Build AI observability, telemetry, and performance measurement solutions.
• Lead cross-team architecture reviews and align infra, SW applications, and Enterprise teams.

Skills

AI Engineering

Data Engineering

Software Engineering

Machine Learning

MLOps

LLMOps

Education

Bachelor's degree in Computer Science

Job description

Allegion is seeking a Lead Software Engineer, AI Agents & Orchestration to design and operate scalable AI orchestration frameworks across software engineering functions.

You will work at the intersection of AI engineering, data engineering, and enterprise governance to enable secure, auditable AI outcomes in a security-critical environment. This hybrid role emphasizes collaboration and continuous improvement.