Job Description
We are seeking a visionary Lead AI Readiness Architect to define the technical and strategic roadmap for our organization in 2026. As we stand on the precipice of the next major technological leap, you will be responsible for designing the infrastructure and frameworks necessary to integrate advanced AI systems at scale. This is not just a technical role; it is a strategic leadership position where you will guide our engineering teams toward a future-proof ecosystem.
In this role, you will bridge the gap between abstract strategic goals and concrete technical execution. You will work closely with C-suite executives to forecast emerging trends in machine learning, quantum computing, and autonomous systems, ensuring our products remain competitive in the rapidly evolving landscape of 2026 and beyond.
Why Join Us?
- Shape the future of technology with a forward-thinking team.
- Competitive compensation package with equity options.
- Work in a state-of-the-art facility in the heart of San Francisco.
Responsibilities
- Define the 2026 Roadmap: Create a comprehensive technical strategy that aligns with business goals, specifically focusing on AI scalability and generative model integration.
- Lead Architecture Design: Design and oversee the implementation of microservices and cloud-native architectures capable of supporting next-gen AI workloads.
- Emerging Tech Assessment: Continuously evaluate emerging technologies (e.g., neuromorphic computing, edge AI) to determine feasibility and integration points.
- Team Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of innovation, continuous learning, and high performance.
- Stakeholder Communication: Translate complex technical concepts into clear, actionable insights for non-technical stakeholders and investors.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- Experience: Minimum of 10 years of experience in software engineering, with at least 5 years in a senior leadership or architectural role.
- Technical Expertise: Deep understanding of machine learning pipelines, neural networks, and large language models (LLMs).
- Strategic Vision: Proven track record of defining long-term technical strategies and leading digital transformation initiatives.
- Communication: Exceptional ability to communicate complex technical strategies to diverse audiences.