Job Description
The Opportunity: Nexus Future Systems is on a mission to define the technological landscape of 2026. We are seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure projects. This is a rare opportunity to build the foundational systems that will power the autonomous enterprise of tomorrow.
In this role, you won't just maintain existing codebases; you will architect the neural architectures and AI strategies that will be relevant in the 2026 timeframe. You will bridge the gap between theoretical machine learning breakthroughs and scalable production environments.
Why Join Us?
- Work at the bleeding edge of Generative AI and Edge Computing.
- Competitive equity package and 401(k) matching.
- Flexible remote-first culture with quarterly innovation sprints.
Responsibilities
- Architect the 2026 AI Stack: Design and implement scalable, fault-tolerant machine learning pipelines focused on long-term viability and future-proofing.
- Next-Gen Model Development: Lead research and deployment of advanced LLMs and multimodal AI models tailored for enterprise-scale deployment.
- Strategic Roadmap Planning: Collaborate with C-suite executives to define technical milestones for the 2026 product lifecycle.
- Performance Optimization: Engineer high-performance inference systems capable of processing petabytes of data in real-time.
- Talent Mentorship: Build and lead a high-performing team of data scientists and ML engineers, fostering a culture of continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
- Future-Forward Thinking: Demonstrated ability to anticipate emerging trends in AI, specifically regarding Quantum AI integration or advanced neural networks.
- Leadership: Proven track record of leading cross-functional teams through complex technical transitions.