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Senior AI Architect: Building the Tech of 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are a pioneering research lab defining the technological landscape of 2026. We are looking for a visionary Senior AI Architect to lead the development of next-generation Agentic AI systems. You will be responsible for designing the foundational models and orchestration layers that will power autonomous agents capable of complex reasoning and execution.

Why Join Us?

Our mission is to bridge the gap between current machine learning capabilities and the autonomous intelligent systems required for the future. You will work with a world-class team of researchers and engineers to solve unsolved problems in generative reasoning, multimodal interaction, and scalable inference.

Responsibilities

  • Architect and deploy scalable LLM and Transformer-based systems designed for the Year 2026 roadmap.
  • Design and implement complex Agentic Workflows that enable autonomous decision-making and tool use.
  • Optimize inference pipelines for real-time latency and cost-efficiency on massive datasets.
  • Collaborate with product and research teams to translate abstract AI concepts into production-ready software.
  • Mentor junior engineers and establish coding standards for high-concurrency AI applications.
  • Conduct rigorous evaluation of model performance, focusing on hallucination reduction and factual accuracy.
  • Stay ahead of the curve on emerging AI architectures and contribute to open-source initiatives.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 7+ years of experience in software engineering with a focus on AI/ML.
  • Deep expertise in PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with vector databases (Pinecone, Milvus) and RAG architectures.
  • Proven track record of shipping production-grade AI products.
  • Excellent communication skills and the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow LLM Generative AI NLP RAG Vector Databases Docker Kubernetes AWS GCP Machine Learning Engineering

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