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Senior Generative AI Architect (2026 Roadmap)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of technology? Nexus Future Labs is seeking a visionary Senior Generative AI Architect to lead our strategic roadmap through 2026 and beyond.

We are building the next generation of intelligent systems. As a key member of our elite R&D team, you will design scalable architectures for Large Language Models (LLMs) and multimodal AI systems, ensuring our solutions remain at the cutting edge of the industry. If you thrive in high-stakes environments and want to leave a legacy in the AI landscape, we want to meet you.

Why Join Us?

  • Work on groundbreaking projects that will define the 2026 tech landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Strategic Visioning: Lead the architectural design and technical roadmap for Generative AI initiatives, specifically targeting deployment and efficiency milestones for 2026.
  • Model Architecture: Design and optimize complex deep learning architectures, including Transformers and diffusion models, ensuring high performance and scalability.
  • Team Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of technical excellence and continuous learning.
  • Performance Engineering: Implement strategies to reduce inference costs and latency, pushing the boundaries of real-time AI applications.
  • Cross-Functional Collaboration: Partner with product managers and software engineers to integrate AI models seamlessly into production environments.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: Minimum of 7+ years of experience in AI/ML engineering, with at least 3 years in a senior or architect-level role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks.
  • Domain Expertise: Deep understanding of NLP, LLMs, and generative adversarial networks (GANs).
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems and navigate ambiguity in fast-paced environments.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) NLP Machine Learning Engineering Cloud Architecture Kubernetes Docker

Ready to Take This Challenge?

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