Job Description
Are you ready to define the technological landscape of the next decade? Nexus Future Labs is seeking a visionary AI Strategy Architect to spearhead our Project 2026 roadmap. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable enterprise implementation, guiding our team toward a future of unprecedented innovation.
Join us in building the infrastructure that will power the world of 2026 and beyond.
Responsibilities
- Define the Technical Vision: Lead the strategic direction for our AI initiatives, ensuring alignment with long-term business goals and the 2026 roadmap.
- Architect Scalable Solutions: Design and oversee the implementation of complex, large-scale AI systems, including generative models and predictive analytics engines.
- R&D Leadership: Mentor a team of elite engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stakeholder Collaboration: Act as the primary technical liaison between R&D, product management, and executive leadership to translate technical concepts into business value.
- Future-Proofing Infrastructure: Evaluate emerging technologies and frameworks to ensure our stack remains relevant and competitive in the rapidly evolving tech landscape.
- Ethical AI Governance: Establish and enforce best practices for AI ethics, transparency, and compliance to mitigate risk.
- Cross-Functional Integration: Drive the integration of AI capabilities into existing workflows and product ecosystems.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems design.
- Technical Mastery: Deep understanding of machine learning algorithms, deep learning frameworks (PyTorch, TensorFlow), and large language models.
- Strategic Mindset: Proven track record of leading large-scale technical transformations and defining product roadmaps.
- Leadership: Demonstrated ability to lead and inspire high-performance engineering teams in a fast-paced environment.
- Communication: Exceptional verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.
- Cloud Proficiency: Extensive experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).