Job Description
Are you ready to architect the future of intelligence in 2026? Nexus Future Systems is seeking a visionary Senior AI Architect to lead the development of next-generation neural networks and autonomous systems. We are not just building software; we are engineering the cognitive infrastructure for the digital economy.
In this pivotal role, you will define the technical roadmap for our proprietary AI engines. You will bridge the gap between theoretical research and production-grade applications, ensuring our solutions are scalable, secure, and at the forefront of innovation. If you thrive in a fast-paced, high-impact environment and are passionate about pushing the boundaries of what is possible with Artificial Intelligence, we want to hear from you.
Why Nexus Future Systems?
- Future-Ready: Work on technologies designed to lead the market through 2026 and beyond.
- Top-Tier Compensation: Competitive base salary plus equity participation.
- Elite Team: Collaborate with PhD-level researchers and industry veterans.
Responsibilities
- System Architecture: Design and implement scalable, distributed AI architectures capable of handling petabyte-scale data.
- Model Development: Lead the research and development of advanced Machine Learning and Deep Learning models, including Generative AI and Large Language Models.
- Performance Optimization: Continuously optimize model inference speed and accuracy to ensure real-time responsiveness.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for AI engineering.
- Stakeholder Management: Translate complex technical requirements into clear business strategies for stakeholders and investors.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
- Experience: 7+ years of experience in software engineering with a strong focus on AI/ML.
- Core Skills: Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Big Data: Experience with distributed computing frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Problem Solving: Proven track record of solving complex algorithmic challenges in unstructured data environments.