Ai Solutions Engineer jobs in Australia
• The average pay for Ai Solutions Engineer jobs in Australia is $198K per year.
• Entry-level positions start at $105K per year, while the most experienced workers can earn up to $351K per year.
• 3 companies are currently advertising Ai Solutions Engineer jobs in Australia including Microsoft, Princess Polly and NCS Australia.
• Top skills include SOLUTION DESIGN, TECHNICAL SALES, CLOUD COMPUTING, DATABASE MANAGEMENT and CUSTOMER ENGAGEMENT.
• Entry-level positions start at $105K per year, while the most experienced workers can earn up to $351K per year.
• 3 companies are currently advertising Ai Solutions Engineer jobs in Australia including Microsoft, Princess Polly and NCS Australia.
• Top skills include SOLUTION DESIGN, TECHNICAL SALES, CLOUD COMPUTING, DATABASE MANAGEMENT and CUSTOMER ENGAGEMENT.
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Posted 28d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Build and deploy AI solutions at enterprise scale.
- Collaborate with stakeholders to design and deliver practical AI solutions.
- Monitor and optimise AI solution performance and costs.
Posted 28d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Build and deploy AI solutions at enterprise scale.
- Collaborate with stakeholders to design and deliver practical AI solutions.
- Monitor and optimise AI solution performance and costs.
Posted 14d ago
Full time
Similar jobs pay
~$120k - $160k
Pay information not disclosed by advertiser
Key points we found
- Design and build AI-powered web and data solutions.
- Integrate modern GenAI patterns and manage CI/CD pipelines.
- Collaborate with cross-functional teams to enhance engineering standards.
Posted 29d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design and operationalise agentic AI solutions for enterprise clients.
- Lead technical discovery and translate business problems into engineering deliverables.
- Build and tune retrieval pipelines and implement production observability.