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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Strategic Roadmap

Nexus Future Systems
Austin, Texas
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of technology? Nexus Future Systems is seeking a visionary Lead AI Architect to drive our strategic roadmap for 2026.

In this high-impact role, you will not just build models; you will architect the neural infrastructure that powers our next generation of intelligent solutions. We are looking for a thought leader who combines deep technical expertise with a passion for ethical AI and scalable architecture. If you are driven by innovation and want to leave a lasting legacy in the tech industry, this is your opportunity to join a team that is preparing for the future today.

Why Join Us?
We offer competitive compensation, equity packages, and a culture that prioritizes autonomy, continuous learning, and impact. Our 2026 roadmap focuses on integrating Generative AI into enterprise workflows, and we need your expertise to make it happen.

Responsibilities

  • Architectural Leadership: Define and implement the technical vision for our 2026 AI roadmap, ensuring scalability, security, and performance.
  • Model Development: Lead the research and deployment of advanced Large Language Models (LLMs) and generative AI agents.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Infrastructure Optimization: Design MLOps pipelines that reduce latency and optimize resource utilization across cloud environments.
  • Strategic Partnerships: Collaborate with product and business stakeholders to translate complex AI capabilities into tangible business value.
  • Compliance & Ethics: Establish governance frameworks to ensure AI outputs are fair, transparent, and compliant with industry regulations.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with vector databases (Pinecone, Milvus).
  • System Design: Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, or Azure).
  • Leadership: Proven track record of managing cross-functional teams and delivering complex projects on time.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Cloud Architecture Distributed Systems AWS GCP Generative AI LLMs Team Leadership

Ready to Take This Challenge?

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