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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect - Vision 2026

Nebula Dynamics
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 Strategy Architect to lead the technological roadmap for our 2026 initiatives. At Nebula Dynamics, we are not just building software; we are architecting the future of human-machine collaboration. This role requires a rare blend of deep technical expertise and strategic foresight to deploy scalable, ethically-aligned artificial intelligence systems that will define the next decade of innovation.

You will work in a high-performance environment where cutting-edge research meets production-grade engineering. If you are passionate about solving complex problems and shaping the trajectory of AI in the year 2026 and beyond, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of large-scale AI infrastructure capable of supporting enterprise-grade workloads with zero latency.
  • Strategic Roadmapping: Define the technical vision and long-term roadmap for AI integration, ensuring alignment with business goals and 2026 strategic milestones.
  • R&D Collaboration: Partner with research scientists to translate theoretical breakthroughs into practical, deployable product features.
  • System Optimization: Drive the optimization of neural networks and data pipelines to improve efficiency, accuracy, and cost-effectiveness.
  • Talent Mentorship: Lead a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Policy Compliance: Ensure all AI deployments adhere to the highest standards of ethical AI, data privacy, and regulatory compliance.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field, or equivalent years of experience.
  • Experience: Minimum of 10 years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Strategic Mindset: Demonstrated ability to bridge the gap between abstract research concepts and business-critical technical solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Innovation: A track record of pioneering new technologies or significantly improving existing systems.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning Deep Learning System Architecture Strategic Planning

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