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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision Initiative

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join FutureCore Systems, a pioneer in next-generation artificial intelligence, as our Lead AI Architect for the 2026 Vision Initiative. We are not just building software; we are architecting the cognitive infrastructure that will define the future of human-machine interaction.

In this pivotal role, you will lead a world-class team of engineers and data scientists in developing scalable, ethical, and groundbreaking AI models designed to operate seamlessly in the evolving technological landscape of 2026 and beyond.

Responsibilities

  • Architectural Vision: Design and implement the core architecture for our next-generation AI ecosystem, ensuring scalability, security, and performance for future demands.
  • Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence within the 2026 Vision division.
  • Strategic Roadmap: Define the long-term technical roadmap, identifying emerging technologies (e.g., advanced NLP, edge AI) to integrate into our product suite.
  • Model Optimization: Oversee the training and fine-tuning of Large Language Models (LLMs) and neural networks to achieve state-of-the-art accuracy and efficiency.
  • Ethical AI Governance: Establish and enforce rigorous ethical guidelines and bias mitigation strategies to ensure AI fairness and transparency.
  • Cross-Functional Collaboration: Partner with product managers, legal teams, and stakeholders to translate complex technical concepts into actionable business solutions.

Qualifications

  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior leadership or architect role.
  • Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • AI Expertise: Proven track record of designing and deploying production-grade machine learning models, particularly in NLP or Computer Vision.
  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Future-Forward Thinking: Demonstrated ability to anticipate industry trends and adapt architectural strategies to meet the demands of the 2026 technology landscape.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Deep Learning NLP Kubernetes Cloud Computing Leadership Ethics in AI

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