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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Tech Stack)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Architect to lead our next-generation engineering initiatives. As we prepare to deploy the 2026 Tech Stack, we need a technical leader who can bridge the gap between theoretical AI research and scalable production systems. You will be instrumental in defining the architecture for autonomous agents, next-generation LLMs, and real-time inference pipelines.

Why Join Us?
Work at the bleeding edge of artificial intelligence. We are not just building tools for today; we are architecting the infrastructure for the future. You will have full autonomy to choose the best technologies and drive technical strategy.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines using the 2026 Tech Stack (Agentic AI & Quantum-ready architectures).
  • Lead the research and implementation of fine-tuning strategies for Large Language Models (LLMs) to achieve peak performance.
  • Optimize model inference latency and reduce operational costs using advanced quantization techniques.
  • Collaborate with cross-functional teams to integrate AI agents into complex business workflows.
  • Mentor junior engineers and establish best practices for MLOps and data governance.
  • Stay ahead of industry trends to ensure our technology remains future-proof.

Qualifications

  • 5+ years of professional experience in AI/ML engineering or software development.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of Large Language Models (LLMs), Transformers, and RAG (Retrieval-Augmented Generation).
  • Experience with vector databases (Pinecone, Milvus, Weaviate).
  • Proven track record of deploying models to production (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Large Language Models NLP MLOps AWS GCP SQL

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