Job Description
Join the Vanguard of Artificial Intelligence
Nexus Future Labs is pioneering the next era of technological evolution. As we architect the intelligent systems of 2026 and beyond, we are seeking a visionary Senior AI Architect to lead our research and development division. You will not just build models; you will define the ethical frameworks, scalability standards, and architectural blueprints that will power the future of global enterprise.
Why Join Us?
- Impactful Work: Directly shape the trajectory of AI development in a rapidly evolving landscape.
- Cutting-Edge Environment: Work with state-of-the-art infrastructure and bleeding-edge research.
- Competitive Compensation: $180k - $250k base salary plus equity package.
- Flexible Culture: Embrace a remote-first culture with opportunities for hybrid collaboration in our SF hub.
Responsibilities
- Architectural Vision: Design and implement robust, scalable AI infrastructure capable of handling petabyte-scale data streams and high-frequency inference.
- Strategic Leadership: Define the long-term technical roadmap for AI capabilities, aligning with business goals and 2026 strategic milestones.
- Model Development: Spearhead the research and deployment of advanced Large Language Models (LLMs) and generative AI systems.
- Team Mentorship: Lead, mentor, and grow a high-performing team of data scientists and machine learning engineers.
- Cross-Functional Collaboration: Partner with product managers, engineers, and stakeholders to translate complex AI concepts into actionable business solutions.
- Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines, bias mitigation protocols, and regulatory standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field from a top-tier institution.
- Experience: 8+ years of experience in software engineering and 5+ years specifically in designing and deploying complex AI/ML systems.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven track record with cloud platforms (AWS, GCP, or Azure).
- System Design: Strong understanding of distributed systems, microservices, and MLOps pipelines.
- Problem Solving: Demonstrated ability to solve ambiguous, high-stakes technical problems with innovative solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.