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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI & Agentic Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the digital landscape of 2026? Nexus Horizon is seeking a visionary Future-Ready AI & Agentic Architect to lead the next evolution of our autonomous systems. In this pivotal role, you won't just maintain the status quo; you will architect the infrastructure that powers the future of enterprise intelligence. Join a team of elite engineers and strategists dedicated to building scalable, secure, and sentient-ready AI solutions.

Why Nexus Horizon?

As a leader in next-gen technology, we prioritize innovation over convention. We offer a competitive compensation package, fully remote-first flexibility, and the opportunity to work on projects that will shape the industry for years to come. If you thrive in a high-velocity environment and possess a deep understanding of the AI landscape, we want to meet you.

Responsibilities

  • Architect Autonomous Systems: Design and deploy robust AI agents capable of complex decision-making and multi-step reasoning workflows.
  • Scalable Infrastructure: Build and optimize cloud-native architectures to handle high-volume data ingestion and processing for 2026 standards.
  • Prompt Engineering & Optimization: Develop advanced prompt strategies and fine-tuning methodologies to maximize LLM performance.
  • Cross-Functional Leadership: Collaborate with product managers and data scientists to translate complex requirements into technical blueprints.
  • Security & Compliance: Implement cutting-edge security protocols to ensure the integrity and privacy of our neural networks.

Qualifications

  • Experience: 5+ years of experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with vector databases (e.g., Pinecone, Milvus).
  • Architecture: Strong understanding of microservices, Kubernetes, and distributed systems.
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
  • Future-Ready Mindset: Demonstrated ability to adapt to emerging technologies and anticipate future industry trends.

Required Skills

Python Machine Learning TensorFlow PyTorch Kubernetes AWS Distributed Systems AI Agents LLMs

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