Job Description
We are looking for a visionary Senior AI Architect to lead the next generation of intelligent systems. As we prepare for the technological landscape of 2026, our team is building the infrastructure that will define the future of human-computer interaction. If you have a passion for pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and scalable architecture, we want to hear from you.
At Nexus Future Labs, you won't just be maintaining systems; you will be architecting the neural pathways of our company's future. We offer a competitive benefits package, including stock options, remote-first flexibility, and continuous learning opportunities.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable, robust AI infrastructure capable of handling high-volume data streams for the 2026 roadmap.
- Lead R&D Initiatives: Spearhead research into cutting-edge Machine Learning models, specifically focusing on Generative AI and predictive analytics.
- Model Optimization: Oversee the end-to-end lifecycle of AI models, from data ingestion and training to deployment and continuous optimization.
- Ethical AI Governance: Establish and enforce strict ethical guidelines and safety protocols to ensure responsible AI deployment.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineering teams to translate complex business requirements into technical solutions.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 8 years of experience in software engineering and 5 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing systems (Kubernetes, Docker).
- Cloud Expertise: Deep understanding of cloud platforms (AWS, Azure, or GCP) and serverless architectures.
- Problem Solving: Proven track record of solving complex, large-scale engineering problems with innovative solutions.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.