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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Synergy Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Synergy Architect to lead our next-generation research initiatives. In this pivotal role, you will define the technical roadmap for our 2026 roadmap, bridging the gap between Generative AI, Quantum Computing, and Predictive Analytics. You will work in a high-velocity environment where innovation is not just encouraged—it is the metric of success. If you want to shape the future of technology, this is your opportunity.

Why Join Us?

  • Work on cutting-edge technologies that define the next decade of computing.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a central hub in San Francisco.

Responsibilities

  • Architect Future Solutions: Design and implement scalable AI architectures that integrate quantum-ready models for the 2026 technology landscape.
  • R&D Leadership: Spearhead research initiatives in Neural Networks and predictive data modeling to drive business intelligence.
  • System Integration: Oversee the integration of disparate AI systems to create a unified, high-performance technological ecosystem.
  • Team Mentorship: Guide a team of junior developers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Strategic Planning: Translate complex business requirements into technical roadmaps, ensuring alignment with the company's 2026 vision.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in a senior or lead AI/ML architecture role.
  • Technical Skills: Proficiency in Python, C++, and experience with quantum computing libraries (e.g., Qiskit, Cirq).
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-scale environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Python C++ System Architecture R&D Leadership

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