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Senior AI/ML Architect (2026 Roadmap Focus)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Architect to spearhead the technical roadmap for our 2026 product launch. At Apex Future Systems, we are building the infrastructure that will define the next decade of intelligent automation. You will be responsible for designing scalable, robust machine learning systems that power our core platform.


In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are not only cutting-edge but also ethically sound and highly efficient.


Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on projects that will shape the future of technology.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines for production environments.
  • Define the technical strategy and architecture for the 2026 product roadmap, focusing on LLM integration and edge computing.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Optimize model performance, reduce inference latency, and ensure high availability.
  • Establish best practices for code quality, testing, and deployment in CI/CD environments.
  • Stay abreast of the latest advancements in AI/ML research and apply them to our product suite.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • 7+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern NLP frameworks.
  • Proven track record of deploying large-scale AI models to production.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.
  • Experience with MLOps tools and data governance frameworks.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP MLOps AWS Docker Kubernetes System Architecture

Ready to Take This Challenge?

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