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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

NovaCore Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Architect the Future of Intelligence with NovaCore Technologies.

We are on a mission to define the technological landscape of 2026. As we move beyond simple automation into Agentic AI and Autonomous Systems, we are seeking a visionary Senior AI Architect to lead our infrastructure and model development.

In this role, you won't just deploy models; you will design the neural frameworks that power the next generation of human-machine interaction. If you are passionate about the ethical implications of AI, large-scale inference optimization, and building systems that think, we want to meet you.

Why NovaCore? We offer equity, a cutting-edge remote-first culture, and the autonomy to shape the roadmap for the year 2026 and beyond.

Responsibilities

  • Design and implement scalable Agentic AI architectures capable of autonomous decision-making and multi-step reasoning.
  • Optimize large language models (LLMs) for low-latency inference and high-throughput deployment in production environments.
  • Lead the technical strategy for integrating Spatial Computing interfaces with AI-driven workflows.
  • Establish best practices for AI Safety, Fairness, and Alignment to mitigate bias in autonomous systems.
  • Collaborate with cross-functional teams to translate business requirements into advanced AI prototypes.
  • Oversee the training pipelines for proprietary data sets and ensure data integrity across the 2026 roadmap.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in Machine Learning Engineering, with at least 3 years in a senior architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
  • Proven track record of deploying LLMs and generative AI models at scale.
  • Strong understanding of ethical AI principles, including explainability and fairness.
  • Experience with Edge Computing and optimizing models for IoT devices.
  • Excellent communication skills with the ability to mentor junior engineers and influence stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Kubernetes LLMs NLP Distributed Systems AI Ethics Edge Computing

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