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Senior AI Architect (2026 Roadmap)

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

Job Description

Join Nexus Horizon as our Senior AI Architect and help define the technological landscape for the year 2026 and beyond. We are seeking a visionary engineer to lead our next-generation AI initiatives, bridging the gap between theoretical machine learning models and scalable production infrastructure.

In this pivotal role, you will be responsible for architecting robust AI systems that drive our core business metrics. We are not just looking for a coder; we need a strategic thinker who can foresee the challenges of the 2026 tech ecosystem and implement solutions that are future-proof.

Why Join Us?

  • Work on cutting-edge Generative AI and Predictive Analytics projects.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in San Francisco.
  • Opportunity to mentor a team of rising engineering talent.

Responsibilities

  • Architect and design end-to-end AI solutions that align with our 2026 strategic roadmap.
  • Lead the development and deployment of large-scale machine learning models.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI capabilities into user-facing products.
  • Optimize existing algorithms for speed, accuracy, and cost-efficiency.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Mentor junior engineers and conduct technical code reviews.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 7+ years of experience in software engineering, with 3+ years specifically in AI/ML architecture.
  • Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with prompt engineering and LLM integration (e.g., GPT-4, Llama).
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Kubernetes Docker Natural Language Processing

Ready to Take This Challenge?

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