Finance AI Engineer – LLMs, Snowflake & Apps

Siemens Energy; Petaling Jaya; On-site; MYR 90,000 - 130,000; Full time

Job summary

Siemens Energy is seeking an AI Developer to help advance finance digitalization, working with AI agents, analytics, and business applications.

You will collaborate with data scientists and business stakeholders, develop data pipelines in SQL and Python (Snowflake), and build Streamlit dashboards. Opportunities to grow in enterprise AI platforms like Copilot Studio.

This role emphasizes responsible AI, cloud data platforms, APIs, and cross-functional collaboration in a multicultural environment.

Qualifications

• Master's degree in Computer Science or related field.
• Recent graduate or up to 2 years of relevant experience.
• Strong Python and SQL foundations.
• Exposure to Snowflake, cloud data platforms, APIs, and Git.
• Experience with Streamlit or dashboard apps is a plus.

Responsibilities

• Develop AI-powered solutions and agents using enterprise platforms.
• Implement LLM-based applications for finance processes.
• Collaborate with stakeholders to translate requirements into AI-enabled features.
• Build data pipelines using SQL and Python, mainly in Snowflake.
• Create interactive dashboards and Streamlit apps.
• Support APIs, testing, monitoring, and documentation.

Skills

Python

SQL

LLM concepts

APIs

Git

Streamlit

Data pipelines

Cloud platforms

Agentic AI

Snowflake

Azure

Education

Master's degree in Computer Science or related field

Tools

Snowflake

Microsoft Copilot Studio

Snowflake Cortex AI

Git

APIs

Job description

Siemens Energy is seeking an AI Developer to help advance finance digitalization, working with AI agents, analytics, and business applications.

You will collaborate with data scientists and business stakeholders, develop data pipelines in SQL and Python (Snowflake), and build Streamlit dashboards. Opportunities to grow in enterprise AI platforms like Copilot Studio.

This role emphasizes responsible AI, cloud data platforms, APIs, and cross-functional collaboration in a multicultural environment.