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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Architect (2026 Vision)

NexGen Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Architects of Tomorrow

At NexGen Dynamics, we don't just predict the future; we engineer it. As we approach the pivotal year of 2026, our mission is to redefine the boundaries of autonomous intelligence and cognitive computing. We are seeking a visionary Senior Agentic AI Architect to lead our next generation of systems that think, adapt, and act.

We are looking for a pioneer who thrives in ambiguity and possesses the technical prowess to build the infrastructure that will define the 2026 tech landscape. If you are passionate about the intersection of advanced AI, ethical computing, and scalable system design, we want to hear from you.

Responsibilities

  • Design the 2026 Landscape: Lead the architectural design of next-generation agentic AI systems, focusing on autonomy, self-repairing capabilities, and human-AI collaboration.
  • System Scalability: Architect robust, fault-tolerant backend systems capable of handling petabyte-scale data flows and high-frequency autonomous decision-making.
  • Ethical AI Governance: Implement and oversee frameworks for AI ethics, ensuring compliance with evolving global standards and bias mitigation strategies.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, technical excellence, and rapid prototyping.
  • Strategic Roadmapping: Define the technical roadmap for 2026, evaluating emerging technologies like neuromorphic computing and quantum-ready algorithms.

Qualifications

  • Experience: 7+ years of experience in software architecture, with at least 4 years focused on AI/ML infrastructure and large-scale system design.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker, Apache Kafka).
  • Future-Ready Skills: Demonstrated experience with LLM integration, RAG (Retrieval-Augmented Generation), and agentic workflow orchestration.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Azure System Architecture Machine Learning AI Ethics LLMs Agentic AI Distributed Systems

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