Job Description
We are seeking a visionary Lead AI Architect to join Nexus 2026, a pioneer in next-generation artificial intelligence infrastructure. As we prepare to launch our flagship suite of autonomous systems designed for the year 2026, we need a technical leader who can translate complex futuristic concepts into scalable, robust, and secure software architectures.
In this role, you will define the technical backbone of our AI ecosystem, ensuring our models are not only state-of-the-art but also ethically sound and energy-efficient. You will work at the intersection of machine learning, cloud computing, and systems engineering, driving innovation that will define the technological landscape for the next decade.
Why join Nexus 2026?
Be at the forefront of the AI revolution. We offer a competitive package, stock options, and the opportunity to work on projects that will impact millions of users worldwide by 2026.
Responsibilities
- Architect the Future: Design and oversee the implementation of large-scale distributed AI systems and machine learning pipelines aligned with the 2026 product roadmap.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Optimization: Drive initiatives to improve model latency, reduce computational costs, and enhance energy efficiency in our data centers.
- Strategic Planning: Collaborate with product managers and C-level executives to define the long-term technical vision and infrastructure requirements.
- Risk Management: Identify potential technical bottlenecks and security vulnerabilities in AI workflows, implementing robust mitigation strategies.
- Research Integration: Stay ahead of industry trends by integrating cutting-edge research (e.g., Generative AI, Reinforcement Learning) into our production systems.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8-10 years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
- Technical Skills: Proficiency in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
- Cloud Expertise: Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Leadership: Proven track record of leading high-performing engineering teams and delivering complex projects on tight deadlines.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.