Overview
Skills
Job Details
Responsibilities
Advise enterprise engineering teams as a trusted technical consultant.
Translate SDLC challenges into AI-powered solutions with measurable ROI.
Lead deep-dives on code quality, security, and integrations.
Partner with CTOs & VPs of Engineering on roadmaps and initiatives.
Design proof-of-concepts (PoCs) tailored to enterprise environments.
Architect successful implementations aligned with enterprise workflows.
Provide customer insights to influence product direction.
Support sales during complex enterprise cycles.
Requirements
5 8 years in software engineering, solutions architecture, or technical leadership.
Strong understanding of enterprise SDLC, DevOps, CI/CD, microservices. Hands-on with cloud platforms (AWS/Google Cloud Platform/Azure), APIs,
containers, security.
Able to engage both engineering teams and C-level executives.
Leadership experience (formal management a plus).
Preferred:
Past experience as an Engineering Manager, Tech Lead, or Solutions Architect.
Background in enterprise digital transformation or AI/ML solutions.
Prior work at cloud leaders (AWS, Google, Microsoft) or enterprise consultancies.
Mentorship from proven AI founders.
Career path toward Director/VP roles as company scales.
Influence on enterprise adoption of Generative AI.