Architect, Senior - AI Cost Optimization

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

Job summary

Infor Inc. in Atlanta seeks a Senior Architect to design and build AI cost-optimization tooling that reduces AWS spend across our development and product footprint.

This is a software-engineering role centered on delivering practical, scalable tooling integrated into the SDLC to prevent cost overruns. You will work hands-on with hundreds of engineering teams, embedding cost intelligence into how software is built, and collaborating with the FinOps function to translate cost strategy into working

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 organ-wide x 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, meeting them in their own codebases and pipelines, to embed cost tooling that accelerates their delivery timelines forward instead of slowing them down.
• 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

Job description

Architect, Senior - AI Cost Optimization

Department: Development

Employment Type: Full Time

Location: Atlanta

Description

Make no mistake, this is a software engineering role first. You will spend your days writing code and building tooling, not managing spreadsheets. You will build AI tooling that optimizes AWS spend across our development and product estate, one of the largest ISV footprints on AWS. The work goes well beyond detecting and reporting cost. You will build tooling that plugs directly into the software development lifecycle to protect against cost overruns before they happen, and AI-driven automation that can auto-resolve cost issues without waiting on a human to notice.

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 FinOps team, 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.

A Typical Day in the Life Includes:

• 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 organ-wide x 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, meeting them in their own codebases and pipelines, to embed cost tooling that accelerates their delivery timelines forward instead of slowing them down.
• 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