Job Description
Are you ready to define the future of technology?
Nexus Future Labs is pioneering the next generation of intelligent systems. As we prepare for the 2026 Technology Roadmap, we are seeking a visionary Lead AI Architect to spearhead our research and development efforts. You will not just build software; you will architect the neural foundations of tomorrow's digital world. Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what is possible.
Why Join Us?
- Work on groundbreaking AI initiatives that will shape the industry by 2026.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of AI talent.
If you are a technical leader passionate about the intersection of Machine Learning and futuristic applications, we want to hear from you.
Responsibilities
- Strategic Vision: Define the technical roadmap and architectural strategy for our 2026 AI initiatives, ensuring scalability and innovation.
- R&D Leadership: Lead a high-performance team of ML engineers and data scientists in researching and implementing cutting-edge deep learning models.
- System Architecture: Design and oversee the deployment of robust, fault-tolerant AI systems capable of handling massive data streams in real-time.
- Model Optimization: Drive the optimization of neural networks for speed, accuracy, and energy efficiency, adhering to industry best practices.
- Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business solutions.
- Compliance & Ethics: Ensure all AI models adhere to ethical guidelines, bias mitigation standards, and regulatory compliance (GDPR/CCPA).
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years in a senior leadership or architect role within AI/ML.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks. Strong understanding of distributed systems and cloud architecture (AWS/GCP/Azure).
- Domain Knowledge: Proven track record of developing advanced NLP, Computer Vision, or Reinforcement Learning models.
- Leadership: Exceptional ability to lead, mentor, and grow engineering teams in a fast-paced, agile environment.
- Communication: Outstanding verbal and written communication skills, capable of presenting complex technical strategies to non-technical executives.