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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Architect the Future of Intelligence

At Nexus Horizon, we are building the infrastructure for the year 2026. As a Senior AI Architect, you will design the backbone of our next-generation autonomous agents and generative AI ecosystems. We are looking for a visionary leader who thrives in ambiguous environments and is obsessed with scalability, latency, and ethical AI deployment.

Our Vision

We are transitioning from static models to dynamic, self-evolving AI agents. You will be responsible for the architecture that powers this shift, ensuring our systems are robust, secure, and ready for the demands of a hyper-connected future.

What You'll Do

  • Lead the architectural design of multi-modal AI systems and large language model (LLM) fine-tuning pipelines.
  • Design high-throughput, low-latency inference engines capable of serving millions of concurrent requests.
  • Implement and optimize MLOps strategies to streamline model deployment and monitoring.
  • Collaborate with cross-functional teams to define product roadmaps aligned with 2026 technology trends.
  • Ensure data privacy, security, and compliance across all AI workloads.
  • Research emerging paradigms in AI, including Agentic workflows and Neural Symbolic AI.

Requirements

  • 10+ years of experience in software engineering, with at least 5 years specifically in Machine Learning Engineering or AI Architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven experience designing systems using Vector Databases (e.g., Pinecone, Milvus) and Retrieval-Augmented Generation (RAG) architectures.
  • Strong background in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with model quantization, pruning, and optimization techniques.
  • Excellent communication skills and the ability to translate technical concepts for diverse stakeholders.

Benefits

Competitive equity package, fully remote-first culture, and continuous learning stipends.

Responsibilities

  • Lead the architectural design of multi-modal AI systems and large language model (LLM) fine-tuning pipelines.
  • Design high-throughput, low-latency inference engines capable of serving millions of concurrent requests.
  • Implement and optimize MLOps strategies to streamline model deployment and monitoring.
  • Collaborate with cross-functional teams to define product roadmaps aligned with 2026 technology trends.
  • Ensure data privacy, security, and compliance across all AI workloads.
  • Research emerging paradigms in AI, including Agentic workflows and Neural Symbolic AI.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in Machine Learning Engineering or AI Architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven experience designing systems using Vector Databases (e.g., Pinecone, Milvus) and Retrieval-Augmented Generation (RAG) architectures.
  • Strong background in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with model quantization, pruning, and optimization techniques.
  • Excellent communication skills and the ability to translate technical concepts for diverse stakeholders.

Required Skills

Python Machine Learning MLOps AI Architecture PyTorch TensorFlow AWS Kubernetes RAG Vector Databases

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