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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Strategy Architect (2026 Roadmap)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Shape the Future of Intelligence. Nexus Horizon Labs is at the forefront of the 2026 technological revolution. We are seeking a visionary Senior AI Strategy Architect to lead the architectural design of our next-generation generative AI systems. In this role, you won't just maintain existing systems; you will architect the foundation for a future where AI seamlessly integrates into the fabric of human creativity and enterprise.

Join a elite team of engineers, data scientists, and futurists dedicated to pushing the boundaries of what is possible. You will define the roadmap for our AI infrastructure, ensuring scalability, security, and ethical alignment for the decade ahead.

Responsibilities

  • Lead Architectural Vision: Define the high-level system architecture for our 2026 AI roadmap, bridging the gap between theoretical AI capabilities and practical, scalable engineering solutions.
  • Strategic Planning: Collaborate with C-suite executives to translate business goals into technical roadmaps, ensuring our AI initiatives remain ahead of industry trends.
  • Technical Oversight: Oversee the development of advanced Large Language Models (LLMs) and autonomous agents, ensuring optimal performance and accuracy.
  • Team Leadership: Mentor a team of senior engineers and architects, fostering a culture of innovation, technical excellence, and continuous learning.
  • Integration & Deployment: Lead the integration of AI solutions into existing enterprise ecosystems, ensuring seamless interoperability and minimal disruption.
  • Risk Management: Identify potential technical and ethical risks in AI deployment, implementing robust mitigation strategies to ensure compliance and safety.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree or PhD is preferred.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior architecture or leadership role.
  • Technical Expertise: Deep understanding of machine learning frameworks (TensorFlow, PyTorch), distributed systems, and cloud infrastructure (AWS, GCP, Azure).
  • Strategic Mindset: Proven track record of leading cross-functional teams and managing complex, long-term technical projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.
  • Passion for the Future: A genuine interest in emerging technologies and a forward-thinking mindset regarding the evolution of AI.

Required Skills

Generative AI System Architecture Machine Learning Cloud Computing Strategic Planning Leadership Python TensorFlow Distributed Systems

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