Sr. AI FinOps Engineer (1701)

Posted 18 Days Ago
Be an Early Applicant
México
Senior level
Digital Media • Consulting
The Role
The role involves applying FinOps principles for managing cloud costs effectively in an R&D organization, automating reporting, and collaborating across teams.
Summary Generated by Built In

🧭 About Inallmedia.com

In All Media is a nearshore managed service provider focused on team augmentation and digital product delivery. We assemble senior, LATAM-based squads from our vetted Coderfull community (500+ engineers) that integrate seamlessly with client teams to deliver software, data, cloud, and AI initiatives with speed and rigor. Our model is community-driven, remote-first, and outcomes-oriented, with long-term partnerships across multiple industries. All contracts are directly with In All Media.

πŸš€ Project Overview

Join the Cloud Economics Team supporting a global R&D organization in a critical digital transformation. This role is central to integrating emerging OpenAI and AI/ML spending into the enterprise cloud cost governance framework. You will apply advanced FinOps principles and automation to standardize budget management, enhance cost visibility using tools like Datadog and Stitcher, and leverage AI-powered insights to drive accountability across engineering teams. The mission is to transform manual financial processes into a scalable, automated system that proactively guides global R&D teams toward optimal AI adoption and cloud resource efficiency.

πŸ” Key Responsibilities

Standardize OpenAI Budget Management: Integrate and standardize OpenAI and other AI-related cloud spending into core cost governance frameworks and reporting tools (e.g., Datadog, Stitcher) to ensure full R&D budget transparency.

Automate Reporting and Forecasting: Design, implement, and maintain automated data pipelines to replace manual processes for cost reporting, forecasting, and alert generation.

AI-Powered Cost Insights: Utilize Large Language Models (LLMs) and AI tools to develop and deploy contextual, automated explanations for cost fluctuations, empowering engineering teams for autonomous budget management.

Develop AI Usage Guidelines: Create and document best practices and guidelines for AI service consumption, identifying cost-effective versus inefficient usage patterns to drive optimal adoption.

Implement Target Tracking Systems: Partner with Observability and Cloud Economics teams to implement proof-of-concept tools for team-level budget tracking, alerting, and proactive cost management.

Cross-Functional Alignment: Collaborate closely with FinOps, Cloud, and Data teams to ensure alignment on reporting standards, forecasting methodologies, and cost governance practices.

πŸ’‘ Must-Have Skills

FinOps Expertise & Certification: 6+ years of experience in Cloud Engineering, DevOps, or Data Analytics, including 2+ years applying FinOps principles to cloud cost management, reporting, or governance. FinOps Certified Practitioner or Professional (mandatory).

AWS Cost Management: Hands-on experience with AWS cost management tools (e.g., Cost Explorer, Apptio, CloudHealth, Kion, or Cloudability).

Data Analysis & SQL: Strong SQL and data analysis skills, with advanced proficiency in Microsoft Excel or Google Sheets (pivot tables, lookups, automation).

Data Pipeline/Visualization: Experience with data pipelines, warehousing, and visualization tools (e.g., Datadog, Snowflake, Stitcher).

Cloud Infrastructure Knowledge: Solid understanding of cloud infrastructure (AWS preferred, GCP or Snowflake experience beneficial).

AI/ML Cost Exposure: Demonstrated exposure to AI/ML environments, including experience tracking costs for GPU usage, Sagemaker, or Vertex AI.

Fluent English for daily communication (B2+ minimum).

🌟 Nice-to-Have Skills

Experience implementing AI- or LLM-based tools for cost explanation or automation.

Familiarity with Python for data automation or API integration.

Experience building advanced FinOps dashboards or cost visibility frameworks.

Background in Cloud Economics or Finance-for-Engineering environments.

πŸ’¬ Language

All interviews, documentation, and day-to-day collaboration will be conducted in English.

Top Skills

AWS
Datadog
Google Sheets
Excel
Snowflake
SQL
Stitcher
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The Company
HQ: Austin, TX
208 Employees
Year Founded: 2013

What We Do

In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries.

We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality.

At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution.

Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies.

Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout.

This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients.


We're hiring! Email us your CV: [email protected]


Contact Us: [email protected]

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