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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

NexaTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

We are NexaTech Solutions, a leading innovator in the future of artificial intelligence. We are currently building the technology stack that will define the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our core research and development division.

In this role, you won't just be maintaining existing systems; you will architect the next generation of autonomous agents, generative AI models, and predictive ecosystems. If you are passionate about pushing the boundaries of what is possible in 2026 and want to shape the future of intelligent systems, we want to hear from you.

Responsibilities

  • Architect 2026-Ready Systems: Design and implement scalable, fault-tolerant AI infrastructure capable of handling next-generation data volumes.
  • Lead GenAI R&D: Spearhead the development of cutting-edge Large Language Models (LLMs) and multimodal systems.
  • Strategic Roadmapping: Define the technical roadmap for AI adoption, ensuring alignment with our vision for the 2026 technological landscape.
  • Model Optimization: Improve model latency, accuracy, and cost-efficiency using advanced quantization and pruning techniques.
  • Technical Mentorship: Guide a team of brilliant engineers and researchers, fostering a culture of innovation and excellence.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executive leadership and product teams.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a senior leadership or architect role.
  • Technical Expertise: Deep proficiency in Python, PyTorch, or TensorFlow; hands-on experience with MLOps platforms (e.g., Kubeflow, MLflow).
  • AI Specialization: Proven track record in designing LLMs, fine-tuning models, or working with vector databases (Pinecone, Milvus).
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and innovate under tight deadlines.
  • Communication: Excellent verbal and written communication skills, capable of presenting technical visions to diverse audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM MLOps AI Architecture Generative AI System Design

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