Job Description
We are seeking a visionary Lead AI & Quantum Readiness Architect to spearhead our 2026 strategic roadmap. In this pivotal role, you will design the next generation of scalable, secure, and intelligent systems that will define the technological landscape of 2026 and beyond. If you are passionate about future-proofing infrastructure and leading high-performance engineering teams, this is your opportunity to shape the future.
Why Join Us?
- Work on groundbreaking technology that prepares the industry for 2026 and beyond.
- Competitive salary and equity package in the heart of Silicon Valley.
- Collaborative culture that values innovation, speed, and technical excellence.
Responsibilities
- Define the 2026 Roadmap: Architect and communicate the long-term technical vision, ensuring alignment with business goals and emerging trends.
- System Design: Lead the design of high-availability, distributed systems capable of handling next-generation AI workloads and quantum integration.
- Team Leadership: Mentor senior engineers and architects, fostering a culture of continuous learning and technical excellence.
- Infrastructure Scalability: Oversee the migration to cloud-native architectures, ensuring robust security and compliance.
- Stakeholder Management: Translate complex technical concepts into actionable strategies for executive leadership and non-technical stakeholders.
- Future-Proofing: Evaluate emerging technologies (e.g., advanced AI models, quantum computing) and integrate them into the current development lifecycle.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- Experience: 10+ years of software engineering experience, with at least 5 years in a senior architectural or leadership role.
- Technical Skills: Deep expertise in distributed systems, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and microservices architecture.
- AI & ML Knowledge: Strong understanding of machine learning pipelines, neural networks, and data architecture.
- Leadership: Proven track record of leading high-performing engineering teams through complex product lifecycles.
- Communication: Exceptional ability to communicate technical strategies to diverse audiences.