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AI Architect: The Future of 2026 | New York, NY

Nexus Future Systems
New York
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are pioneering the Autonomous AI revolution for 2026. Nexus Future Systems is seeking a visionary AI Architect to design the next generation of self-learning, generative systems. You will be at the forefront of merging Large Language Models (LLMs) with autonomous agent workflows, building the infrastructure that will define the technological landscape of the coming years.

If you are looking for a challenge that demands innovation, high-performance computing, and ethical AI leadership, we want to hear from you.

Responsibilities

  • Architect Advanced LLM Pipelines: Design scalable, fault-tolerant systems for training and deploying state-of-the-art generative models.
  • Autonomous Agent Development: Build the logic frameworks that allow AI agents to plan, execute, and learn from complex multi-step tasks.
  • Optimize Inference & Latency: Implement model quantization and hardware acceleration strategies to ensure real-time performance.
  • Ethical AI Governance: Establish guardrails and compliance standards to ensure AI outputs are safe, unbiased, and transparent.
  • Research & Prototyping: Experiment with emerging paradigms such as Mixture of Experts (MoE) and Neural Symbolic AI to push the boundaries of current technology.
  • Collaborate with Cross-Functional Teams: Partner with product managers, engineers, and data scientists to translate technical visions into production-ready features.

Qualifications

  • Bachelor’s or Master’s Degree in Computer Science, AI, or a related technical field.
  • 5+ Years of Experience in Machine Learning Engineering, Deep Learning, or AI Architecture.
  • Expert Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven Track Record with LLMs (GPT-4, Claude, Llama) and fine-tuning methodologies (LoRA, QLoRA).
  • Experience with MLOps tools like MLflow, Kubeflow, or custom CI/CD pipelines for AI.
  • Strong Understanding of Distributed Systems and cloud infrastructure (AWS/GCP/Azure).
  • Experience with GPU Clusters and high-performance computing environments.

Required Skills

Python Machine Learning Deep Learning LLMs PyTorch TensorFlow MLOps AWS Kubernetes Generative AI AI Architecture 2026 Tech Trends

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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