Job Description
Join the Vanguard of Future Intelligence.
Nexus Horizon Solutions is pioneering the technological landscape for the year 2026. We are seeking a visionary AI Strategy Architect 2026 to define the roadmap for our next-generation generative AI ecosystem. This is not just a job; it is an opportunity to shape the future of human-computer interaction and scalable machine learning infrastructure.
The Role
You will act as the bridge between technical feasibility and business vision. As the AI Strategy Architect for 2026, you will lead high-level initiatives, ensuring our AI products remain at the cutting edge of innovation. You will collaborate with cross-functional teams of engineers, data scientists, and product managers to deliver transformative solutions.
Why Nexus Horizon?
We offer a competitive compensation package, a remote-first culture, and the chance to work on projects that will define the decade ahead. If you are passionate about the future of AI and possess the strategic acumen to execute it, we want to hear from you.
Responsibilities
- Define the 2026 AI Roadmap: Create and maintain a strategic vision for AI integration, identifying emerging trends and technologies that will drive business value in the coming years.
- Lead Strategic Initiatives: Spearhead complex AI projects from concept to deployment, ensuring alignment with company goals and industry standards.
- Technical Architecture: Collaborate with CTOs and Lead Engineers to design scalable, secure, and efficient AI infrastructure and data pipelines.
- Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and secure buy-in for high-stakes initiatives.
- R&D Leadership: Oversee research and development efforts, experimenting with novel algorithms and LLM architectures.
- Regulatory Compliance: Ensure all AI strategies adhere to ethical guidelines, data privacy laws, and emerging global regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience: 8+ years of experience in software engineering or data science, with at least 3 years in a senior leadership or architecture role.
- Technical Expertise: Deep understanding of Machine Learning, Deep Learning, NLP, and Generative AI models (e.g., Transformers, GPT).
- Strategic Mindset: Proven ability to translate business requirements into technical roadmaps and strategic plans.
- Communication: Exceptional written and verbal communication skills with the ability to influence at the executive level.
- Tools: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).