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Senior AI Architect - Future Tech (2026)

Nexus Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Welcome to the vanguard of the technological revolution. Nexus Horizon Innovations is seeking a visionary Senior AI Architect to spearhead the development of autonomous agents and generative AI systems that will define the landscape of 2026 and beyond.

In this role, you will not just write code; you will architect the intelligence that powers the next generation of human-machine interaction. We are building the infrastructure for a world where AI is autonomous, ethical, and deeply integrated into daily operations.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable, high-performance AI architectures for autonomous agents and Large Language Models (LLMs).
  • Model Optimization: Drive research into model quantization, distillation, and edge deployment to enhance inference speed and efficiency.
  • R&D Leadership: Lead a team of researchers and engineers in exploring cutting-edge methodologies, including Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.
  • Production Deployment: Oversee the end-to-end MLOps pipeline, ensuring robust monitoring, logging, and reliability in production environments.
  • Ethical AI Governance: Establish and enforce frameworks for AI safety, bias mitigation, and transparency in automated decision-making processes.

Qualifications

  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, or JAX with a proven track record of deploying complex machine learning models.
  • Generative AI Expertise: Strong understanding of Transformer architectures, Attention mechanisms, and modern NLP techniques.
  • Experience Level: 5+ years of experience in AI/ML engineering, preferably in high-scale production environments.
  • Mathematical Foundation: Solid grasp of linear algebra, calculus, probability, and statistics required for algorithm optimization.
  • Leadership Skills: Demonstrated ability to mentor junior engineers and drive technical strategy within cross-functional teams.
  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Generative AI LLMs NLP MLOps Docker Kubernetes AWS GCP Reinforcement Learning SQL

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