AI Solutions Engineer

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.

About the role

This role is responsible for designing, building, and evaluating managed AI agents that automate and augment work across Allegion. Embedded with teams throughout the business, you will learn their processes firsthand, translate needs into clear requirements and success criteria, and stand up agents that produce consistent, trustworthy results with the right level of human oversight. The role also builds the reusable patterns, templates, and evaluation practices that make each successive agent faster and safer to deliver.

Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.

This role offers the benefits of our dynamic hybrid work model—combining in-person collaboration for meaningful moments with the flexibility of remote work. Hybrid arrangements can vary based on the needs of the individual, team, and business; specific details will be provided by your talent acquisition partner.

Responsibilities

• Embed with teams across Allegion to learn their processes firsthand and identify where an agent will create measurable value.
• Translate unfamiliar business processes into clear agent requirements, scope, and success criteria.
• Design and build agents that are safe, reliable, and produce consistent outputs.
• Define what "good" means for each use case and build evaluations that measure accuracy, consistency, and regression over time.
• Decide where human oversight is warranted—particularly for client-facing outputs or writes to systems of record—and design those checkpoints.
• Build reusable patterns, skills, templates, and best practices that standardize agent development across the company.
• Pilot agents with business users and lead acceptance testing before rollout.
• Partner with data scientists, business partners, and peer AI teams to prioritize use cases and align on delivery.
• Apply responsible-AI practices and stay current with advances in agentic AI and evaluation methods.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
• 3+ years total experience delivering AI, software, or data solutions, including hands-on work building LLM-based applications or agents.
• Experience designing and building AI agents, including tool use, external system and data integration, and multi-step workflow orchestration.
• Strong proficiency with generative AI and large language models, including prompt engineering for reliable, high-quality outputs.
• Experience defining and implementing evaluations for AI systems that measure quality, consistency, and regression over time.
• Sound judgment on human-in-the-loop design—knowing when oversight is warranted and designing effective review checkpoints.
• Requirements-discovery and facilitation skills—able to embed with a business team, learn an unfamiliar process quickly, and translate it into clear requirements.
• Strong Python proficiency and hands-on experience with cloud platforms; Azure preferred, AWS or GCP acceptable.
• Excellent communication skills, with a proven track record of working effectively with both technical teams and non-technical stakeholders.
• Comfortable establishing new standards and patterns in ambiguous, greenfield territory and refining them with partner teams.
• Ability to work independently and collaborate effectively, in person and remotely.
• Analytical approach to problem-solving, sense of urgency, ability to manage multiple initiatives, and self-direction in keeping current with rapidly changing technology.

Preferred Qualifications

• Experience with the Model Context Protocol (MCP) or similar frameworks.
• Experience integrating systems of record or CRM platforms (e.g., Microsoft Dynamics).
• Experience in a customer-facing, consulting, solutions-engineering, or forward-deployed role.
• Background in data science, machine learning, or applied statistics, particularly in evaluation or measurement methodology.

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—tax-advantaged savings for healthcare expenses.
• Flexible Spending Accounts for healthcare and/or dependent daycare expenses.
• Disability Insurance—Short-Term and Long-Term coverage, paid for by Allegion.
• Life Insurance—term life coverage with the option to purchase supplemental coverage.
• Tuition Reimbursement.
• Voluntary Wellness Program—earn up to $2,000 in rewards for completing wellness activities.
• Employee Discounts through Perks at Work.
• Community involvement and opportunities to give back.
• Opportunities to leverage your unique strengths through CliftonStrengths assessment & coaching.