Lead Enterprise AI Agent Architect

Infineon

Western Australia

On-site

AUD 150,000 - 210,000

Full time

2 days ago
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Job summary

Infineon is seeking a Data Scientist to join the Software & Data Science team in Western Australia. You will design, build, and deploy production-ready AI agents and multi-agent systems that automate complex business processes and augment decision-making across Finance and related functions.

You will architect enterprise-scale AI platforms, pipelines, and governance, applying data ingestion, ETL/ELT, RAG, and model orchestration. This role requires 3+ years in production AI and cloud-native tech.

Qualifications

  • Degree in Mathematics, Computer Science, Software Engineering, or related field.
  • 3+ years building production-grade software; 1+ year building LLM/Generative AI/Agentic AI.
  • Proven AI agents, autonomous workflows, or AI-enabled product delivery in production.
  • Experience with ML/AI, cloud-native tech, and modern software engineering practices.
  • Familiarity with regulated environments such as finance/manufacturing/semiconductor is a plus.

Responsibilities

  • Lead the development of enterprise AI agents and multi-agent systems.
  • Engineer scalable agentic AI solutions with secure, reliable platforms.
  • Architect end-to-end AI platforms and pipelines including data ingestion, ETL/ELT, RAG, and governance.
  • Collaborate with Finance stakeholders and tech teams to translate challenges into AI solutions.
  • Drive AI transformation and establish engineering standards and best practices.

Skills

Mathematics
Computer Science
Software Engineering
LLM-powered AI
Agentic AI
Communication skills

Education

Degree in Mathematics
Degree in Computer Science
Degree in Software Engineering

Tools

Databricks
GCP
Azure
AWS

Job description

Infineon is seeking a Data Scientist to join the Software & Data Science team in Western Australia. You will design, build, and deploy production-ready AI agents and multi-agent systems that automate complex business processes and augment decision-making across Finance and related functions.

You will architect enterprise-scale AI platforms, pipelines, and governance, applying data ingestion, ETL/ELT, RAG, and model orchestration. This role requires 3+ years in production AI and cloud-native tech.

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