Senior Forward Deployed Engineer (GenAI, AWS)
Embed with enterprise clients to understand their operations, then build and deploy production GenAI systems on AWS, owning delivery from problem framing through evaluation and adoption.
Abnormal AI is looking for a Senior Software Engineer to join the Multi-Product Platform (MPP) organization, which owns the product platform enabling scalable, consistent product development across our enterprise product suite. This role sits on the Customer Journey team, focused on optimizing how customers onboard and start using Abnormalโs products โ building systems that streamline the onboarding and proof-of-value (POV) experience, reducing manual steps, and accelerating time-to-value. The ideal candidate is a full-stack feature lead who thrives on cross-functional collaboration and is motivated to directly impact customer experience from day one.
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A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Embed with enterprise clients to understand their operations, then build and deploy production GenAI systems on AWS, owning delivery from problem framing through evaluation and adoption.
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