Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon Technologies is seeking a visionary Strategic AI Architect to lead our research and development in next-generation artificial intelligence. We are not just building software; we are architecting the future.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will be responsible for ensuring our infrastructure is not only ready for the current market but is future-proofed for the exponential growth expected in 2026 and beyond. If you are a thought leader passionate about the intersection of machine learning, blockchain, and quantum computing, we want to meet you.
Why Join Us?
- Work with a team of elite engineers and futurists.
- Competitive compensation package including equity.
- Flexible remote-first culture with HQ in the heart of SF.
- Focus on high-impact, long-term projects.
Responsibilities
- Define the 2026 Technology Roadmap: Lead the strategic vision for AI integration, identifying emerging trends in Generative AI, predictive analytics, and autonomous systems.
- System Architecture Design: Design and oversee the implementation of scalable, secure, and high-performance AI infrastructure and cloud ecosystems.
- R&D Leadership: Spearhead research initiatives to prototype cutting-edge algorithms that will define the next decade of tech.
- Team Mentorship: Cultivate a culture of innovation, mentoring junior architects and engineers to ensure best practices in AI engineering.
- Stakeholder Collaboration: Translate complex technical concepts into clear strategies for executive leadership and product teams.
- Compliance & Ethics: Ensure all AI implementations adhere to global ethical standards and regulatory frameworks.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a Senior Architect or Lead Engineer role.
- Technical Expertise: Deep knowledge of Machine Learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP), and microservices architecture.
- Visionary Mindset: Proven track record of anticipating industry shifts and driving innovation in fast-paced environments.
- Soft Skills: Exceptional communication skills, with the ability to lead cross-functional teams and influence decision-making.
- Problem Solving: Ability to tackle ambiguous problems and deliver robust solutions under tight deadlines.