Lead Software Engineer, AI Agents & Orchestration

Allegion•Carmel, IN

1d•Hybrid

About The Position

Allegion is 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 to operate AI safely within a security critical environment. 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.

Requirements

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.

Nice To Haves

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 Responsible AI, data governance, and model risk management.
Experience with FastAPI, React, and Azure Cosmos DB or similar technology stacks.
Strong understanding of AWS and or Azure Cloud Platforms.

Responsibilities

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 enterprise data products optimized for AI 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.

Benefits

Health, dental and vision insurance coverage
Unlimited Paid Time Off
401K plan with a 6% company match and no vesting period
Health Savings Accounts
Flexible Spending Accounts
Short-Term and Long-Term Disability Insurance
Term life insurance with the option to purchase supplemental coverage
Tuition Reimbursement
Voluntary Wellness Program
Employee Discounts through Perks at Work
Community involvement and opportunities to give back
Opportunities to leverage your unique strengths through CliftonStrengths assessment & coaching