Architect, Senior - AI Cost Optimization

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

Architect, Senior - AI Cost Optimization

Department: Development

Employment Type: Full Time

Location: Dallas

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 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, 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, break down the work, drive it through others, and keep stakeholders and executive team aligned without needing to be told what to do next.

How You Operate

We are hiring for a specific way of working, not just a skill set. The right person will recognize themselves in every line below.

• Fully autonomous. You set your own direction from business context. You do not wait for work to be assigned.


• Data driven. You ground decisions in evidence and measurement. If it cannot be measured, you build the measurement first.


• Ownership. You treat the outcome as yours end to end, from the idea through to the dollars saved in production.


• Say-do. You say it, you hit it. Commitments are commitments, and your word is your bond.


• Leads through others. You set the example, raise the bar for the engineers around you, and multiply your impact across teams rather than keeping it to yourself.

Basic 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.

Preferred Qualifications:

• Enterprise software architecture 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.


• Experience with agentic frameworks and running multi-agent pipelines through human review gates.


• Experience with AWS Bedrock, Service Control Policies, and centralized budget or gateway enforcement at scale.


• Infrastructure as code (Terraform or CloudFormation) and container platforms (ECS, EKS, Kubernetes).


• Experience operating in a large multi-account, multi-team enterprise AWS environment.