Job Description
Are you ready to architect the intelligence of tomorrow? FutureCore Systems is seeking a visionary Lead AI Architect to define the strategic roadmap and technical foundation for our upcoming 2026 product suite. We are not just building software for today; we are engineering the core technologies that will define the artificial intelligence landscape three years from now.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade infrastructure. You will lead a team of elite engineers and data scientists in pioneering next-generation generative models, quantum-ready neural networks, and ethical AI frameworks. If you have a passion for the future and a proven track record of leading high-impact technical initiatives, we want to meet you.
Why FutureCore?
- Work on cutting-edge AI infrastructure.
- Shape the strategic vision for the 2026 era of technology.
- Competitive compensation package with equity options.
- Remote-first culture with a hub in San Francisco.
Responsibilities
- Define and execute the technical roadmap for the 2026 product vision, ensuring alignment with business objectives.
- Architect scalable, high-performance AI systems capable of handling exascale data processing.
- Lead a cross-functional team of data scientists, ML engineers, and software developers.
- Collaborate with quantum computing research partners to integrate hybrid AI models.
- Establish best practices for model explainability, bias mitigation, and AI governance.
- Oversee the deployment of MLOps pipelines to ensure continuous integration and delivery.
- Present complex technical concepts to executive stakeholders and investors.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and distributed computing systems (Kubernetes, Spark).
- Proven experience designing systems for the future, including experience with quantum computing primitives or edge AI.
- Strong leadership skills with a history of mentoring high-performing engineering teams.
- Excellent communication skills, capable of translating technical jargon into strategic business value.
- Experience with large language models (LLMs) and generative AI architectures.