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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect (Project 2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Shape the Future of Technology with Project 2026. Nexus Future Systems is a premier organization at the forefront of artificial intelligence innovation. We are seeking a visionary Senior AI Strategy Architect to lead our flagship initiative, Project 2026. In this role, you will define the architectural blueprint for next-generation AI systems, ensuring they are scalable, secure, and ethically sound.

As a technical leader, you will bridge the gap between complex machine learning research and practical, high-impact business solutions. If you are driven by the challenge of building the infrastructure for tomorrow, we invite you to join our elite team.

Responsibilities

  • Define the Technical Vision: Lead the strategic direction for Project 2026, creating a comprehensive roadmap for AI integration and development.
  • Architect Scalable Systems: Design and oversee the implementation of robust AI architectures capable of handling enterprise-scale data processing and real-time inference.
  • Lead R&D Initiatives: Spearhead research into emerging AI paradigms, including generative models and reinforcement learning, to maintain a competitive edge.
  • Collaborate with Stakeholders: Work closely with product management, engineering, and legal teams to ensure technical feasibility and compliance with data privacy regulations.
  • Mentor Engineering Teams: Guide a team of senior data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
  • Optimize Performance: Drive initiatives to improve model accuracy, reduce latency, and optimize cloud resource utilization.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD is a strong advantage).
  • Experience: 8+ years of experience in software architecture, with at least 4 years specifically in leading AI/ML engineering teams.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, Azure, or GCP).
  • Strategic Mindset: Proven ability to translate abstract technical concepts into concrete business strategies and deliverables.
  • Communication: Exceptional public speaking and writing skills, with the ability to articulate complex ideas to diverse audiences.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture Strategic Planning Leadership TensorFlow PyTorch AWS Data Science

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