Job Description
Are you ready to define the technological landscape for 2026? Nexus AI Solutions is seeking a visionary Senior AI Architect to lead our next generation of intelligent systems. As we look toward the future of autonomous agents and generative AI, we need a leader who can bridge the gap between theoretical research and scalable production engineering.
In this role, you will not just implement existing models; you will architect the foundational infrastructure that will power our products for the next decade. You will work with a world-class team of data scientists, engineers, and product managers to deliver breakthrough AI solutions that redefine user experience.
Why Join Us?
- Work on cutting-edge projects that shape the future.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Join us in building the future of AI. Apply today to become a key architect of our 2026 roadmap.
Responsibilities
- Design and implement scalable, high-performance AI systems and machine learning pipelines tailored for 2026 deployment.
- Lead the architectural strategy for Large Language Models (LLMs) and generative AI features.
- Collaborate with cross-functional teams to translate business requirements into technical roadmaps.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimize model inference latency and cost-efficiency for production environments.
- Stay ahead of industry trends, specifically focusing on AGI advancements and neural network architectures.
- Ensure system reliability, security, and scalability of our AI core infrastructure.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven experience designing and deploying large-scale machine learning systems.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent leadership skills with a track record of mentoring teams and driving technical decisions.
- Exceptional problem-solving abilities and a passion for solving complex, ambiguous problems.