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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are building the infrastructure for the next era of artificial intelligence. Nexus Future Systems is seeking a visionary Senior AI Architect: 2026 Roadmap to lead the design and implementation of our autonomous agent framework. In this pivotal role, you will bridge the gap between theoretical AI models and production-grade software, ensuring our platform remains at the cutting edge of technology trends.

As part of our elite engineering team, you will define the technical strategy for 2026, architecting scalable systems that leverage the latest breakthroughs in generative AI and large language models (LLMs).

Responsibilities

  • Architect the 2026 Vision: Lead the end-to-end design of our agentic AI ecosystem, ensuring scalability, security, and performance for next-gen applications.
  • Model Integration: Integrate and fine-tune proprietary and open-source LLMs to build autonomous agents capable of complex reasoning and execution.
  • System Optimization: Oversee the deployment of inference pipelines, optimizing latency and throughput for real-time AI interactions.
  • Tech Stack Leadership: Mentor junior engineers and set coding standards using modern cloud-native technologies and containerization strategies.
  • R&D Collaboration: Work closely with data scientists and product managers to translate research concepts into production-ready features.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • Experience: 7+ years of software engineering experience with 3+ years in AI/ML architecture.
  • Programming: Proficiency in Python, with deep understanding of frameworks like PyTorch, TensorFlow, or LangChain.
  • Cloud Mastery: Proven experience designing systems on AWS, Azure, or GCP with a focus on serverless and microservices architectures.
  • Problem Solving: Demonstrated ability to solve complex architectural challenges in high-scale environments.

Required Skills

Python Machine Learning AWS PyTorch System Architecture Agentic AI Cloud Computing TensorFlow

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