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Senior AI Systems Architect (2026 Vision) | New York, NY

Nexus Future Labs
New York
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the infrastructure of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Systems Architect to lead our engineering efforts for the 2026 roadmap. In this pivotal role, you will define the technical strategy for next-generation generative models and autonomous systems. You will collaborate with top-tier researchers to build scalable, secure, and high-performance AI ecosystems that will define the industry standard for the future. Join us in shaping the trajectory of artificial intelligence.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the development of scalable AI infrastructure capable of handling exascale data processing by 2026.
  • Roadmap Strategy: Define the technical vision and milestones for the company's AI evolution over the next two years.
  • Model Optimization: Lead initiatives to optimize Large Language Models (LLMs) for efficiency, latency, and cost reduction.
  • Cross-Functional Leadership: Partner with product, security, and data science teams to integrate AI solutions into core business workflows.
  • Technical Mentorship: Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
  • Compliance & Ethics: Ensure all AI systems adhere to ethical guidelines and regulatory standards for AI safety.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in AI/ML architecture and leadership.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • System Design: Proven track record of designing high-availability systems at scale.
  • Future-Ready Mindset: Demonstrated ability to anticipate technological trends and adapt strategies accordingly.
  • Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Distributed Systems Cloud Architecture (AWS/Azure/GCP) Machine Learning System Design Leadership

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