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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer: 2026 Strategic Vision

Quantum Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are not just building software; we are architecting the future. Quantum Horizon Tech is seeking a visionary Senior AI Engineer to lead our 2026 Strategic AI Initiative. As the industry shifts towards autonomous agents and sentient computing, we need a leader who can translate complex futuristic concepts into scalable, production-ready architectures.

In this role, you will be the architect of our next-gen AI ecosystem, ensuring we remain at the forefront of the 2026 technology landscape. You will work alongside world-class researchers and engineers to push the boundaries of what is possible with Large Language Models and predictive algorithms.

Responsibilities

  • Define the AI Roadmap: Lead the strategic vision for AI development through 2026, identifying emerging trends and integrating them into our core product suite.
  • Architect Scalable Systems: Design and implement robust machine learning pipelines capable of handling petabyte-scale data ingestion and real-time inference.
  • Model Optimization: Drive the deployment of state-of-the-art Generative AI models, focusing on latency reduction, cost-efficiency, and accuracy.
  • Ethical AI Governance: Establish and enforce strict ethical guidelines and safety protocols to ensure responsible AI deployment.
  • Cross-Functional Leadership: Collaborate with product, engineering, and design teams to translate technical capabilities into user-centric features.

Qualifications

  • Education: Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years leading high-impact projects.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and modern Deep Learning frameworks.
  • LLM Expertise: Proven track record working with Large Language Models (GPT-4, LLaMA, Claude) and fine-tuning custom models.
  • System Design: Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Natural Language Processing (NLP) Large Language Models (LLMs) Generative AI Cloud Architecture Kubernetes AWS System Design AI Ethics

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