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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Strategy Architect (2026 Vision)

Nebula Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to define the future of artificial intelligence in 2026? Nebula Nexus is seeking a visionary Senior AI Strategy Architect to lead our next-generation infrastructure initiatives. As we look toward the horizon of 2026, we are building systems that don't just process data—they understand, adapt, and evolve. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world implementation, ensuring our platforms remain at the cutting edge of the industry.

We are looking for a thought leader who thrives in ambiguity and possesses a deep technical acumen to architect the backbone of our 2026 roadmap.

Responsibilities

  • Lead the 2026 AI Roadmap: Define and execute the technical vision for our next-generation AI infrastructure, focusing on scalability, safety, and agentic capabilities.
  • Architect Scalable LLM Systems: Design and implement robust, fault-tolerant pipelines for Large Language Models, ensuring high availability and low latency.
  • Bridge Theory and Practice: Translate cutting-edge research in multimodal AI and reinforcement learning into production-ready software architecture.
  • Ethical AI Frameworks: Spearhead the development of guidelines and technical constraints to ensure AI outputs are unbiased, safe, and compliant with emerging regulations.
  • Cross-Functional Leadership: Collaborate with product, engineering, and legal teams to integrate AI capabilities seamlessly into our core product suite.
  • Optimize Resource Efficiency: Innovate on compute optimization techniques to reduce operational costs while maximizing model performance.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture and system design.
  • Technical Mastery: Deep expertise in Transformer architectures, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/GCP).
  • Strategic Vision: Demonstrated ability to anticipate industry trends and align technical strategy with long-term business goals.
  • Leadership: Proven track record of mentoring senior engineering teams and driving technical decision-making.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Generative AI LLMs System Architecture Python PyTorch TensorFlow Kubernetes AWS Machine Learning Cloud Infrastructure

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