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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

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

Job Description

About Nexus Future Labs: We are pioneering the next generation of Agentic AI solutions, building the technological infrastructure for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our technical strategy and design scalable, robust systems for our flagship 2026 launch.

Why Join Us? You will be at the forefront of AI evolution, working with state-of-the-art tools and leading a team of elite engineers. We offer a competitive package, equity packages, and the opportunity to define the future of technology.

Responsibilities

  • Lead Architectural Vision: Design and implement the core AI infrastructure roadmap specifically for the 2026 product release cycle, focusing on scalability and efficiency.
  • Agentic AI Integration: Spearhead the integration of autonomous agents into our core product suite, ensuring seamless interoperability and high performance.
  • Technical Mentorship: Guide a team of senior and junior engineers, conducting code reviews, architecture discussions, and technical onboarding.
  • Performance Optimization: Oversee the optimization of Large Language Models (LLMs) and neural networks to ensure sub-millisecond latency in production environments.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate business requirements into cutting-edge technical solutions.
  • Security & Compliance: Establish rigorous security protocols for AI data handling and ensure compliance with emerging 2026 regulatory standards.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Architecture: Deep understanding of microservices, distributed systems, and event-driven architectures.
  • Leadership: Proven track record of leading technical teams through complex product lifecycles.
  • Future-Ready Mindset: Passionate about emerging trends in AI, specifically Agentic workflows and AI safety.

Required Skills

Python PyTorch Machine Learning Artificial Intelligence Cloud Architecture Distributed Systems Leadership

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