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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision | San Francisco

NexusCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to architect the future of technology? NexusCore Systems is looking for a visionary Senior AI Architect to lead our strategic initiatives for the 2026 roadmap. This is a rare opportunity to define the standards for next-generation intelligence systems.

In this pivotal role, you will bridge the gap between theoretical AI research and real-world application. You will be responsible for designing scalable, secure, and high-performance machine learning ecosystems that drive our core products. If you are driven by innovation and want to shape the technological landscape of the coming years, we want you on our team.

Responsibilities

  • Strategic Leadership: Define and execute the technical vision for AI products targeting the 2026 market release cycle.
  • System Architecture: Design robust, fault-tolerant architectures for distributed machine learning systems and big data pipelines.
  • Model Optimization: Oversee the deployment, monitoring, and continuous improvement of LLMs and predictive models to ensure optimal performance.
  • Talent Development: Mentor a team of data scientists and engineers, fostering a culture of technical excellence and innovation.
  • Stakeholder Management: Collaborate with product leaders and C-suite executives to translate business goals into technical roadmaps.
  • R&D Integration: Stay at the forefront of emerging AI trends (e.g., generative AI, neural architecture search) and integrate them into our stack.
  • Compliance & Ethics: Ensure all AI systems adhere to strict data privacy regulations and ethical AI guidelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering with a strong focus on AI/ML.
  • Technical Stack: Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Cloud Mastery: Deep expertise in deploying and managing large-scale AI workloads on AWS or Azure.
  • System Design: Proven ability to design complex system architectures that scale from prototype to production.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python AWS Kubernetes Deep Learning Generative AI

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