Job Description
Are you ready to define the future of technology? Nexus Horizon Labs is seeking a visionary AI Strategy Architect to lead our 2026 technology roadmap. In this pivotal role, you will bridge the gap between cutting-edge AI research and scalable enterprise architecture.
We are looking for a leader who doesn't just follow trends but anticipates the technological landscape of 2026. You will be responsible for steering our AI initiatives, ensuring we remain at the forefront of innovation and delivering transformative value to our clients.
Why Join Us?
- Work at the intersection of strategy and engineering.
- Shape the AI infrastructure that powers the next generation of enterprise solutions.
- Competitive compensation package and equity options.
Responsibilities
- Architect the 2026 AI Roadmap: Define the long-term technical vision and strategic milestones for our AI product suite.
- Lead High-Stakes Projects: Oversee the architecture and implementation of large-scale machine learning systems and neural networks.
- Market Trend Analysis: Monitor emerging technologies, including Generative AI and Quantum Computing, to inform strategic decisions.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and stakeholders to align technical goals with business objectives.
- Optimize Performance: Ensure system scalability, security, and efficiency as we scale towards 2026.
- Thought Leadership: Publish white papers and present at industry conferences on future tech trends.
Qualifications
- Experience: 10+ years in software engineering or AI architecture, with at least 5 years in a strategic leadership role.
- Technical Proficiency: Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch) and cloud infrastructure (AWS, GCP, Azure).
- Strategic Mindset: Proven ability to translate complex data into actionable business strategies and roadmaps.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Problem Solving: Demonstrated experience solving complex architectural challenges at scale.