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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. As the landscape of Artificial Intelligence evolves, we need a leader who can bridge the gap between cutting-edge research and scalable production systems. In this pivotal role, you will steer our engineering teams towards developing autonomous agents and quantum-ready infrastructures.

If you are passionate about shaping the future of tech and possess the strategic foresight to anticipate industry shifts, we want to hear from you.

Responsibilities

  • Lead the architectural design and implementation of next-generation AI systems focused on 2026 trends, including Agentic AI and Generative models.
  • Collaborate with cross-functional teams to define technical vision, strategy, and roadmaps for future product development.
  • Oversee the migration of legacy systems to cloud-native, quantum-resistant architectures.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Evaluate emerging technologies (Web3, Edge Computing, Neuromorphic chips) and determine their applicability to our product suite.
  • Ensure system scalability, security, and performance standards are met across all AI deployments.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture leadership.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern LLM integration patterns.
  • Proven track record of leading large-scale technical projects from conception to deployment.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Cloud Computing Distributed Systems Leadership Quantum Computing Agentic AI

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