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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect - 2026 Roadmap | San Francisco, CA

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

Job Description

Shape the Future of Intelligence. Join Nexus Horizon Innovations.

Nexus Horizon is defining the trajectory of technology through 2026 and beyond. We are seeking a visionary Principal AI Architect to lead our strategic roadmap, bridging the gap between theoretical AI breakthroughs and scalable enterprise solutions. If you possess the foresight to anticipate the next decade of technological evolution, this is your stage.

As a Principal AI Architect, you will not merely deploy existing models; you will architect the agentic AI ecosystems that will power the enterprise of tomorrow. You will collaborate with C-level executives to define our 2026 strategic vision, ensuring our infrastructure is resilient, scalable, and revolutionary.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the strategic planning and architectural design for AI initiatives, forecasting trends in Large Language Models (LLMs), Autonomous Agents, and Quantum Computing integration.
  • Architect Scalable Systems: Design and implement robust, high-performance distributed systems capable of handling petabyte-scale data streams and real-time inference.
  • Lead Enterprise Integration: Oversee the integration of AI models into legacy systems, ensuring seamless interoperability and minimal disruption to business operations.
  • Drive Innovation & Prototyping: Spearhead proof-of-concept projects for emerging technologies, including Generative Adversarial Networks (GANs) and reinforcement learning frameworks.
  • Ethical AI Governance: Establish frameworks for AI ethics, bias mitigation, and data privacy, ensuring compliance with global regulatory standards.
  • Technical Mentorship: Mentor senior engineers and data scientists, fostering a culture of continuous learning and technical excellence within the engineering department.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years in advanced AI/ML architecture and leadership roles.
  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker). Familiarity with cloud platforms (AWS, Azure, GCP) is required.
  • Strategic Vision: Demonstrated ability to translate complex technical concepts into business value and strategic roadmaps.
  • Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes environments.
  • Communication: Exceptional ability to communicate technical strategies to non-technical stakeholders and executive leadership.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture AWS Azure Kubernetes Generative AI Strategic Planning Data Science Leadership

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