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Information Technology 🏒 Full Time ⭐️ Verified

Senior Strategic AI Architect | 2026 Roadmap

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on a mission to define the technological landscape of the future. Nexus Horizon Systems is seeking a visionary Strategic AI Architect to lead our technology roadmap toward the year 2026. In this high-impact role, you will bridge the gap between today's innovations and the transformative technologies of tomorrow, designing the core infrastructure that will power our next generation of intelligent solutions.

As a key member of our C-Suite advisory team, you will focus on emerging trends, ethical AI frameworks, and scalable system architecture. You will not just write code; you will architect the future.

Responsibilities

  • Define the 2026 Technology Vision: Lead the strategic planning and execution of our technology roadmap, identifying emerging trends (e.g., Generative AI, Quantum Computing) to integrate into our core product suite.
  • Architect Scalable Systems: Design and oversee the implementation of robust, scalable, and secure AI-driven systems capable of handling enterprise-grade workloads.
  • Evaluate Emerging Technologies: Conduct rigorous research and proof-of-concept testing for next-generation technologies to ensure Nexus Horizon remains at the forefront of innovation.
  • Cross-Functional Leadership: Collaborate with product managers, engineering leads, and data scientists to translate complex technical requirements into actionable architectural strategies.
  • Optimize Performance: Drive initiatives to enhance system efficiency, reduce latency, and improve the overall user experience through advanced algorithmic engineering.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML system design and strategic planning.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/Azure/GCP).
  • Strategic Mindset: Proven ability to anticipate industry shifts and pivot technical strategies to align with long-term business goals.
  • Leadership: Demonstrated success in mentoring senior engineering teams and leading high-stakes technical projects from conception to deployment.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Distributed Systems Strategic Planning Deep Learning Natural Language Processing

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