AI Data Engineer for Cost Optimization & GenAI Platforms

SEGULA Technologies; Mexico; On-site; PHP 5,511,329 - 8,573,178; Full time

Job summary

SEGULA Technologies seeks an hands-on AI/ML Engineer to build production-grade AI systems for cost estimation, optimization, analysis, and decision support. You will develop end-to-end AI pipelines and LLM-powered applications, collaborating with cost engineers and data teams in a practical, technically focused role.

You will implement MLOps, RAG architectures, and integrate AI into enterprise data platforms (Databricks, Snowflake, Palantir Foundry, Azure, AWS).

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related quantitative field.
• 2+ years of hands-on experience in AI/ML engineering or applied data science roles.
• Strong proficiency in Python, SQL, and Git.
• Practical experience with LLMs, prompt engineering, RAG architecture, vector databases, and multi-agent systems/copilots (e.g., Copilot Studio).
• Hands-on machine learning model development and experience with cloud/enterprise data platforms (Databricks, Snowflake, Palantir Foundry, Azure, AWS, etc.).
• Familiarity with MLOps tools (MLflow, Azure ML, CI/CD pipelines) and GenAIOps practices.
• Strong communication, stakeholder management skills, and professional English proficiency.

Responsibilities

• Design, develop, and deploy scalable AI/ML models tailored for cost engineering.
• Implement model monitoring, automated retraining, and continuous performance optimization in production environments.
• Apply robust MLOps practices for versioning, testing, monitoring, lifecycle management, and CI/CD pipelines.
• Design, develop, and deploy production-ready LLM-powered applications for cost engineering use cases.
• Implement RAG architectures, vector databases, and multi-agent orchestration utilizing enterprise data sources.
• Collaborate with data engineers to integrate AI solutions into enterprise data platforms and data assets.
• Integrate AI capabilities directly into cost engineering tools, executive dashboards, and operational workflows.
• Collaborate with onshore/offshore cross-functional teams and translate domain problems into actionable AI/ML solutions.
• Partner with business stakeholders to define requirements, success metrics, and KPIs.
• Provide technical leadership, mentor junior engineers, and promote AI capability building.
• Ensure AI solutions comply with enterprise data governance, security, traceability, and responsible AI standards.

Skills

Python

SQL

Git

GenAI / LLMs

MLOps / GenAIOps

Cloud data platforms

Education

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

Tools

Databricks

Snowflake

Palantir Foundry

Azure

AWS

MLflow

Azure ML

Job description

SEGULA Technologies seeks an hands-on AI/ML Engineer to build production-grade AI systems for cost estimation, optimization, analysis, and decision support. You will develop end-to-end AI pipelines and LLM-powered applications, collaborating with cost engineers and data teams in a practical, technically focused role.

You will implement MLOps, RAG architectures, and integrate AI into enterprise data platforms (Databricks, Snowflake, Palantir Foundry, Azure, AWS).