Applied AI Engineer - ANZ
$180,000–$225,000 year
RemoteSydney, New South Wales, Australia or Australia
Job Summary
Embed with enterprise engineering teams to drive deep, lasting adoption of Devin, owning outcomes beyond onboarding. Architect and implement agentic workflows across engineering, QA, support, data, and product to identify high-leverage AI use cases. Lead interactive programs including live workshops and pair programming sessions to accelerate team fluency. Guide customers through installing, configuring, and optimizing Devin and its associated tools like DeepWiki and MCP integrations. Quantify impact by tracking productivity metrics, surfacing ROI stories, and building the business case for expanding Devin's footprint. Scale field learnings into structured playbooks and enablement materials to reach hundreds of thousands of engineers worldwide.
Required Qualifications
- Degree in a STEM field or equivalent hands-on experience
- 3+ years as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer or similar roles with strong coding proficiency (Python, JavaScript/TypeScript, or similar)
- Proven ability to communicate complex technical topics to diverse audiences
- Proven track record of driving technical adoption and measurable impact inside engineering organizations
- Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly
- Excellent verbal and written communication skills
- Demonstrated ability to learn and adapt exceptionally fast
Desired Qualifications
- You've led developer enablement, platform adoption, or internal AI modernization initiatives — and you can point to the before/after metrics
- Have deployed or integrated LLM or agent-based systems in production settings
- Have previously founded or joined early-stage startups where autonomy and execution speed were critical
- You're energized by seeing a team's velocity compound after working with them — and you engineer those outcomes deliberately
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