Cognition18 days ago
Прикладной AI-инженер - ANZ
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding
- 02Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying where AI creates the highest leverage and building toward it
- 03Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)
- 04Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.)
- 05Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency
- 06Quantify impact — tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts
- 07Work with leadership to scale field learnings into structured playbooks and best practices that scale beyond individual engagements
- 08Create enablement materials, best practices, and shared playbooks based on customer learnings
Requirements
- 01Degree in a STEM field or equivalent hands-on experience
- 023+ 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)
- 03Proven ability to communicate complex technical topics to diverse audiences
- 04Proven track record of driving technical adoption and measurable impact inside engineering organizations
- 05Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly
- 06Excellent verbal and written communication skills
- 07Demonstrated ability to learn and adapt exceptionally fast