AI Engineer – FinOps

IRIUM Portugal; España; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Remote work across Europe

Negotiable compensation

Job summary

IRIUM Portugal is seeking an experienced AI Engineer to join an international FinOps project. You will design, develop and deploy AI and Generative AI solutions to optimise cloud spending for enterprise clients.

You will work with Cloud Architects, FinOps consultants and data engineers, using Python, ML frameworks, and cloud AI services across AWS, Azure or Google Cloud.

This is a full-remote Europe role with a competitive, negotiable package.

Qualifications

• Bachelor's or Master's in Computer Science/AI/Data Science.
• 4+ years as an AI/ML Engineer or similar role.
• Strong Python programming.
• Experience with ML frameworks TensorFlow, PyTorch, Scikit-learn.
• Hands-on with Large Language Models (LLMs) and Generative AI.
• Experience implementing RAG architectures and prompt engineering.
• Knowledge of LangChain, Semantic Kernel, AutoGen.
• Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock or Vertex AI.
• Strong MLOps practices and CI/CD pipelines.
• Docker, Kubernetes and containerised deployments.

Responsibilities

• Design and develop AI-powered FinOps solutions.
• Build ML and Generative AI apps for cloud cost analysis and forecasting.
• Deploy scalable AI solutions on cloud-native architectures.
• Implement retrieval-augmented generation and LLM integrations.
• Collaborate with Cloud Architects, FinOps consultants and data engineers.
• Integrate AI services with AWS, Azure, or Google Cloud.
• Apply MLOps for deployment, monitoring, governance.
• Ensure security, scalability, responsible AI.
• Stay current with AI tech trends.

Skills

Python programming

LLMs and Generative AI

Education

Bachelor's or Master's in Computer Science/AI/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

Semantic Kernel

AutoGen

Azure OpenAI

OpenAI APIs

AWS Bedrock

Vertex AI

Docker

Kubernetes

REST APIs

SQL

Job description

We are looking for a talented AI Engineer to join an international project for a global technology client, supporting enterprise organisations in delivering innovative AI-driven FinOps solutions.

As part of an international team, you will design, develop and implement AI and Generative AI solutions that enhance Cloud Financial Operations (FinOps), enabling organisations to optimise cloud spending, improve forecasting accuracy, automate financial processes and generate actionable business insights.

This role requires close collaboration with Cloud Architects, FinOps Consultants, Data Engineers and client stakeholders in a fast-paced, agile environment.

Key Responsibilities

• Design and develop AI-powered solutions for Cloud Financial Management (FinOps).
• Build Machine Learning and Generative AI applications to automate cloud cost analysis, forecasting, anomaly detection and optimisation.
• Develop and deploy scalable AI solutions using modern cloud-native architectures.
• Implement Retrieval-Augmented Generation (RAG), LLM integrations and AI Agents where applicable.
• Collaborate with multidisciplinary teams to define technical solutions aligned with business objectives.
• Integrate AI services with AWS, Azure or Google Cloud platforms.
• Apply MLOps best practices for model deployment, monitoring, governance and lifecycle management.
• Ensure security, scalability and responsible AI principles throughout the solution lifecycle.
• Stay current with emerging AI technologies and industry best practices.

Required Skills

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or a related field.
• 4+ years of experience as an AI Engineer, Machine Learning Engineer or similar role.
• Strong programming skills in Python.
• Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn.
• Practical experience working with Large Language Models (LLMs) and Generative AI solutions.
• Experience implementing RAG architectures and prompt engineering.
• Knowledge of LangChain, Semantic Kernel, AutoGen or similar AI orchestration frameworks.
• Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock or Google Vertex AI.
• Strong understanding of MLOps practices and CI/CD pipelines.
• Experience with Docker, Kubernetes and containerised deployments.
• Experience with REST APIs and microservices.
• Good understanding of SQL and data engineering concepts.

Nice to Have

• Previous experience with FinOps or Cloud Financial Management.
• FinOps Certified Practitioner certification.
• Experience with Azure AI Foundry.
• Knowledge of Microsoft Fabric, Databricks or Snowflake.
• Experience with Infrastructure as Code (Terraform, Bicep, CloudFormation).
• Familiarity with cloud cost optimisation platforms such as CloudHealth, Cloudability, AWS Cost Explorer, Azure Cost Management or GCP Billing.
• Microsoft Azure AI, AWS Machine Learning or Google Professional ML certifications.

Soft Skills

• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Client-focused mindset with consulting experience.
• Ability to work effectively within multicultural and distributed teams.
• Self-driven, proactive and adaptable.
• Passion for innovation and continuous learning.

What we offer

• Full remote work from anywhere in Europe.
• Competitive compensation – open to discussion and negotiable, with the possibility of a B2B contract.