Blitzy aims to automate custom software creation, transforming six-month projects into six-day turnarounds by enabling AI agents to build software with precision. The Senior AI Solutions Consultant will act as a technical bridge between Blitzy's AI platform and enterprise engineering teams, helping them adopt this new approach to software development.
Requirements
- 5-8 years of experience in software engineering, solutions architecture, or technical leadership roles
- Deep understanding of enterprise software development lifecycles, from requirements gathering through deployment
- Hands-on experience with modern development practices: Agile/Scrum, DevOps, CI/CD, microservices
- Fluent in the language of enterprise technology: cloud platforms (AWS/GCP/Azure), containerization, API design, security protocols
- Experience navigating complex technical environments with multiple stakeholders and competing priorities
- Experience with AI/ML technologies or implementing AI solutions in enterprise environments
- Track record of driving technical decisions that resulted in measurable business impact
Responsibilities
- Serve as the trusted technical advisor to enterprise engineering teams evaluating and implementing Blitzy
- Navigate complex enterprise architectures, understanding legacy systems, security requirements, and integration challenges
- Translate enterprise SDLC pain points into Blitzy solutions that deliver measurable ROI
- Lead technical deep-dives with engineering teams, addressing concerns about AI-generated code quality, security, and integration
- Architect Blitzy implementations that align with enterprise development workflows, tools, and processes
- Collaborate with customer engineering teams to ensure successful integration with their existing tech stack
- Define success metrics and work with customers to achieve targeted outcomes (velocity improvements, cost reduction, quality metrics)
Other
- Work with VPs of Engineering, CTOs, and technical leaders at Fortune 500 companies and high-growth enterprises.
- Partner with VPs of Engineering and CTOs to understand their technical roadmaps and strategic initiatives
- Guide enterprises through the journey from traditional development to AI-augmented software creation
- Build trusted relationships by demonstrating deep understanding of their technical challenges and constraints
- Partner with our Product and Engineering teams to influence roadmap based on enterprise customer needs
