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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the precipice of the next technological era. Nexus Future Systems is seeking a visionary Senior AI Architect to define and execute our strategic roadmap for 2026. In this pivotal role, you will lead the charge in integrating next-generation Large Language Models (LLMs) and generative AI into our core infrastructure. You will not just build models; you will architect the intelligent systems that will define our product landscape for the coming decade.

Join a team of world-class engineers and researchers dedicated to pushing the boundaries of artificial intelligence. If you are passionate about the future and want to leave a lasting impact on the AI landscape, this is your opportunity.

Responsibilities

  • Lead the 2026 AI Vision: Define the technical roadmap for AI adoption, focusing on scalability, safety, and performance for the 2026 fiscal year.
  • Architect GenAI Solutions: Design and implement robust Large Language Model (LLM) pipelines, fine-tuning models for specific enterprise use cases.
  • MLOps & Infrastructure: Oversee the deployment of AI models on scalable cloud infrastructure (AWS/Azure), ensuring high availability and low latency.
  • Data Strategy: Collaborate with data scientists to establish data governance frameworks and ensure high-quality training data pipelines.
  • Research & Innovation: Stay ahead of the curve in emerging AI trends (e.g., Multimodal AI, Autonomous Agents) and prototype cutting-edge solutions.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Experience: 7+ years of experience in software engineering and machine learning, with a focus on AI/ML systems.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • LLM Expertise: Proven track record of working with GPT-4, Llama, or similar transformer architectures.
  • MLOps: Strong understanding of CI/CD for ML, Kubernetes, and model versioning (MLflow).
  • Education: BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
  • Communication: Excellent ability to translate complex technical concepts into actionable business strategies.
  • Problem Solving: Demonstrated ability to architect complex systems under pressure and deliver on aggressive timelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps LLM Large Language Models AWS Kubernetes Data Engineering AI Architecture

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