Senior AI Cost Optimization Engineer for AWS

Infor Inc.; Dallas (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Infor Inc. in Dallas seeks a Senior Architect for AI Cost Optimization to design and build tooling that reduces AWS spend across a vast software estate.

You will write production-grade code, integrate cost guardrails into the SDLC, and deliver AI-driven automation that prevents cost overruns before they happen. You will partner with hundreds of engineering teams, scale cost intelligence across the organization, and shape the cost engineering roadmap while aligning with the FinOps and platform

Qualifications

• 8+ years of professional software engineering experience building and operating production systems and internal tooling or platforms.
• 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.
• 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.
• Ability 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.

Responsibilities

• 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.
• Partner hands-on with engineering teams across hundreds of organizations, embedding cost tooling that accelerates delivery timelines.
• Collaborate with Infor's internal FinOps team to translate cost strategy into working software, and with platform teams on centralized controls such as Service Control Policies, budget gateways, and account guardrails.
• Act as the technical project lead for your workstream: shape the roadmap, break down the work, drive it through others, and keep stakeholders aligned.

Skills

Python

Java

Go

AWS

CI/CD

LLMs/AI

Cost optimization

Multi-account AWS

Education

Bachelor's degree in CS or related field

Tools

Terraform

CloudFormation

ECS

Kubernetes

Job description

Infor Inc. in Dallas seeks a Senior Architect for AI Cost Optimization to design and build tooling that reduces AWS spend across a vast software estate.

You will write production-grade code, integrate cost guardrails into the SDLC, and deliver AI-driven automation that prevents cost overruns before they happen. You will partner with hundreds of engineering teams, scale cost intelligence across the organization, and shape the cost engineering roadmap while aligning with the FinOps and platform