Lead Software Engineer, AI Agents & Orchestration

Creating Peace of Mind by Pioneering Safety and Security At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 40 brands, 14,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond.  Additionally, Allegion is proud to be recognized with the 2026 Gallup Exceptional Workplace Award (GEWA) for the third consecutive year, earning distinction in both the employee engagement and strengths categories. This year, Allegion also received Gallup’s With Distinction honor — a designation reserved for a select group of organizations that go above and beyond in building exceptional workplace cultures. Lead Software Engineer, AI Agents & Orchestration   We are seeking a Lead Software Engineer, AI Agents & Orchestration with strong software engineering skills and demonstrated experience building and operating production generative AI systems to help build the AI operating system across Software Engineering functions.  As part of the Global Software Solutions Engineering team, you will operate at the intersection of Software Engineering, Artificial Intelligence, Agentic Systems, Data Engineering, and Enterprise AI Governance. This role is responsible for designing, engineering, and operationalizing scalable AI orchestration frameworks that transform software application data into intelligent, auditable, and secure business outcomes.  This role requires strong capabilities in both AI Engineering and Data Engineering. You will design data insights, orchestrate multi-agent workflows, develop Retrieval-Augmented Generation (RAG) systems, integrate enterprise knowledge sources, and establish the governance and observability capabilities required to operate AI safely within a security critical -environment.  Why This Role is Important To Us:   Allegion GSS is accelerating the adoption of AI-enabled capabilities to improve operational efficiency, enhance platform assets, cybersecurity resilience, strengthen quality, and deliver intelligent experiences across the software product portfolio.  As a Lead AI Orchestration Engineer, you will help establish the AI execution layer that enables secure collaboration between various software applications, large language models, internal knowledge repositories, agentic workflows, governance controls, and human decision makers.  At Allegion, we are driven by a bold vision: redefining safety while empowering our employees to thrive. When you join our team, you become part of a culture that values innovation, purpose, and excellence. This role offers the benefits of our dynamic hybrid work model—combining in-person collaboration for meaningful moments with the flexibility of remote work. Since hybrid arrangements can vary based on the needs of the individual, team and business, your talent acquisition partner will provide specific hybrid details about this role.  We are committed to fostering a healthy work-life balance and building meaningful connections, ensuring you have the tools, resources, and support needed to excel in any environment. Together, we’ll unlock your potential and create a lasting impact.  While this is the current structure and we currently have no plans to change, we reserve the right to make changes to the hybrid schedule as needed at the Company’s discretion.  What You Will Do:   Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform  Design and engineer AI orchestration frameworks that coordinate multiple models, agents, tools, APIs, and GSS SW applications.  Develop agent-to-agent and human-in-the-loop workflows that automate complex operational and analytical processes.  Lead implementation of AI context engineering strategies and AI agent architectures.  Build reusable orchestration patterns that enable rapid deployment of AI-enabled business capabilities.  Design and develop scalable data pipelines supporting AI, analytics, and agentic workflows.  Build data structures in GSS applications which are optimized for AI agent consumption.  Develop reusable AI platform components supporting multiple use cases and business domains.  Implement MLOps and LLMOps deployment, monitoring, versioning, and governance capabilities.  Implement Responsible AI guardrails, governance controls, and model risk management processes.  Build AI observability, evaluation, telemetry, and performance measurement solutions.  Design and implement RAG architectures for GSS SW products in collaboration with Enterprise teams.  Lead cross-team architecture reviews and drive alignment across infrastructure, SW Application and Enterprise teams.  What You Need to Succeed:   Bachelor's degree in Computer Science, Data Engineering, Information Systems, Artificial Intelligence, or equivalent practical experience.  5–7 years of experience in Data Engineering, AI Engineering, Machine Learning Engineering, Software Engineering, or related disciplines.  Strong experience developing large-scale data pipelines and distributed data-processing solutions.  Experience with Python, SQL, APIs, workflow automation, and cloud-native architectures.  Proven experience designing, deploying, and maintaining RESTful APIs and web services at scale  Strong communication and stakeholder collaboration skills.  Track record of independently driving projects from concept through production deployment  This role requires strong systems thinking, cross-team influence, and a long-term view of platform scalability, reliability, and developer experience.  Preferred:   LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.  Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow.  Experience with vector databases, semantic search, and enterprise RAG platforms.  Experience implementing MLOps, LLMOps, AI observability, and evaluation frameworks.  Knowledge of Respon