Hiring: Architect, Senior - AI Cost Optimization Company: Infor Location: Atlanta, GA Job Posted Time: 2026-09-16 11:33:02 Target Skills & Keywords : AWS, CI/CD, CloudFormation, Data Pipeline, Digital Transformation, ECS, EKS, IAM, Infrastructure as Code, Java, Kubernetes, LLM, Lambda, Project Management, Python, Terraform, User Experience About the job Experience: •8+ years of professional software engineering experience building and operating production systems and internal tooling or platforms. Required Skills: •The impact is measured in engineering velocity, not just dollars. You will partner hands-on with hundreds of engineering organizations across Infor, embedding cost intelligence into how they build so that teams ship faster and pull timelines forward rather than getting slowed down by cost surprises. We already have an internal •, and you will work closely with them, but you are the engineer who turns cost strategy into real tooling that engineers use. You own the build; they are your partner, not your manager. •This is a highly visible, cross-cutting role. You will set the standard for how Infor engineers think about cost, and lead through influence rather than authority. If you want your work to be seen at the executive level and measured against both real dollars and real timelines, this is that role. •Design and build AI tooling and agents that monitor, forecast, and auto-resolve cloud cost issues across AWS accounts, with a focus on AI and GPU inference spend. •Integrate cost guardrails directly into the SDLC and CI/CD pipelines so that cost overruns are caught at commit, build, and deploy time rather than on a monthly bill. •Build the detection-to-remediation loop: anomaly detection, root-cause attribution, and automated actions such as budget enforcement, right-sizing, and policy checks. •Instrument workloads at the account and API level, model token and inference economics, and turn findings into org-wide best practices and reusable tooling. •Extend cost attribution and reporting so spend maps cleanly to teams and business outcomes, and surface it in executive dashboards. Qualifications: •Expert-level proficiency in at least one modern language used for tooling and automation, such as Python, Java, or Go. •Deep, hands-on AWS experience, including cost and billing services (Cost Explorer, Cost and Usage Report, Budgets), IAM, Lambda, and tagging strategy. •Proven experience building automation and data pipelines, and integrating tooling into CI/CD and the SDLC. •Solid functional working knowledge of cloud cost and unit economics (showback, chargeback, cost attribution) is a plus, but this role builds the tooling; a dedicated FinOps team owns the financial reporting. •Practical experience integrating or building with LLMs or AI agents, and a clear understanding of token and inference cost drivers. •Strong technical project management instincts: you can scope, sequence, and drive cross-team work to completion, and communicate clearly with both engineers and executives. •Demonstrated capacity to work from an Infor Hub in Dallas, TX or Atlanta, GA, with a daily overlap of 10:00 AM to 3:00 PM EST. •Bachelor's degree in computer science or a related field, or equivalent practical experience. •Hands-on experience optimizing AI and GPU inference cost, including model-tier selection, prompt and caching strategy, and budget enforcement for autonomous or headless workloads. •Infrastructure as code (Terraform or CloudFormation) and container platforms (ECS, EKS, Kubernetes). Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!