Forward Deployed Engineer

Opus Recruitment Solutions; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Opus Recruitment Solutions is seeking a senior AI architect to lead GenAI projects from problem definition to production. You will own architectural decisions, stay hands-on, and influence direction across multiple engagements with enterprise customers.

You will solve complex problems using Python and modern AI technologies, mentor engineers, and partner with stakeholders to deliver scalable, production-ready AI solutions.

Qualifications

• Proven Python software engineering experience.
• Experience building and deploying GenAI, LLM, or Agentic AI solutions.
• Proven architecture and system design capability.
• Strong production mindset around reliability, testing and scalability.
• Comfortable engaging with customers and senior stakeholders.

Responsibilities

• Lead end-to-end GenAI and Agentic AI projects.
• Design scalable architectures and make key technical decisions.
• Build production-grade LLM and AI-powered applications.
• Develop agent workflows, tool integrations, and evaluation frameworks.
• Mentor engineers and drive engineering best practices.
• Work directly with enterprise stakeholders.
• Solve complex problems using Python and modern AI technologies.

Skills

Python

GenAI

LLM deployment

System design

Customer interaction

Job description

We're working with a rapidly growing AI business helping major enterprises deploy cutting-edge GenAI solutions that deliver real business outcomes.

This is a highly autonomous role where you'll lead projects from problem definition through to production, partnering directly with customers and owning key architectural decisions. You'll stay hands-on while influencing technical direction across multiple engagements.

What You'll Do

• Lead end-to-end GenAI and Agentic AI projects
• Design scalable architectures and make key technical decisions
• Build production-grade LLM and AI-powered applications
• Develop agent workflows, tool integrations, and evaluation frameworks
• Mentor engineers and drive engineering best practices
• Work directly with enterprise stakeholders
• Solve complex problems using Python and modern AI technologies

What We're Looking For

• Strong Python software engineering
• Proven examples of building and deploying GenAI, LLM, RAG or Agentic AI solutions
• Proven architecture and system design capability
• Strong production mindset around reliability, testing and scalability
• Comfortable engaging with customers and senior stakeholders

Why Join?

• Work on AI projects that actually make it into production
• Own architecture and technical direction
• Build products that reach production fast
• Partner directly with some of the world's largest organisations