Applied AI Engineer
San Francisco, New York City, London$180k - $225kFull-timePosted 11mo ago
About the role
Applied AI Engineers operationalize AI modernization at the enterprise level, embedding with engineering teams to deploy Devin and drive measurable productivity gains. They shape repeatable playbooks, enablement materials, and scale learnings across hundreds of engineers.
Responsibilities
- Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding
- Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying where AI creates the highest leverage and building toward it
- Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)
- Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.)
- Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency
- Quantify impact — tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts
- Work with leadership to scale field learnings into structured playbooks and best practices that scale beyond individual engagements
- Create enablement materials, best practices, and shared playbooks based on customer learnings
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
Skills
Required:Software engineeringCommunicationTechnical adoption / enablement
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Cognition
cognition is an applied AI lab
An applied AI lab building the future of software engineering. We’re the makers of Devin, a collaborative AI teammate that helps ambitious engineering teams achieve more.
AIai-plg-top-20collaborative AIliquid-ai-recruiting-targetmachine learningsoftware engineering
More open roles at Cognition
- Sales Development Manager5d agoSan Francisco, Austin, New York City · Sales
- Partner Director (LATAM)5d agoSao Paulo · Sales
- Analyst Relations5d agoSan Francisco · Marketing
- Head of Safety1w agoSan Francisco · Research & Development
- Japan Partner Marketing1w agoTokyo · Marketing