Job Description
We are looking for a visionary Senior AI Architect to spearhead the technological roadmap for our 2026 initiative. Nexus Future Labs is at the forefront of next-generation artificial intelligence, and we need a leader who can bridge the gap between theoretical innovation and scalable engineering.
In this high-impact role, you will define the architectural strategy for our core AI platforms, ensuring they are robust, secure, and future-proof. You will work alongside a world-class team of engineers and data scientists to deploy solutions that will redefine the industry landscape by 2026.
Why join us?
- Work on cutting-edge AI infrastructure.
- Competitive compensation and equity package.
- Flexible remote-first culture with a premium office in San Francisco.
Responsibilities
- Architect AI Solutions: Design and implement scalable machine learning pipelines and large language model architectures tailored for the 2026 product suite.
- Strategic Roadmap: Define the technical vision and long-term strategy for AI adoption within the organization.
- System Optimization: Oversee the optimization of neural networks and inference engines to ensure high performance in production environments.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research Integration: Evaluate and integrate emerging AI research papers and technologies into the company's core stack.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business requirements into technical specifications.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architectural capacity.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, AWS/GCP).
- Strategic Mindset: Demonstrated ability to think long-term and drive complex technical projects from conception to deployment.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Problem Solving: Strong analytical skills with a track record of solving complex algorithmic challenges.