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Senior AI Architect | New York, NY

Apex Future Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

About the Role:
We are seeking a visionary Senior AI Architect to lead our next-generation technology initiatives. At Apex Future Systems, we are building the infrastructure for a smarter tomorrow. You will be at the forefront of developing scalable, secure, and innovative AI solutions that define the landscape of 2026 and beyond. If you are a technical leader passionate about the intersection of machine learning and enterprise architecture, we want to meet you.


Why Join Us?
β€’ Competitive compensation package (Base + Equity).
β€’ Flexible remote and hybrid work culture.
β€’ Access to state-of-the-art computing infrastructure.
β€’ Opportunity to mentor the next generation of engineers.

Responsibilities

  • Design and architect end-to-end AI/ML pipelines for large-scale enterprise applications.
  • Define technical strategies and roadmaps for AI adoption across the organization.
  • Collaborate with cross-functional teams including Data Science, Product, and Engineering to drive innovation.
  • Ensure the scalability, reliability, and security of AI models in production environments.
  • Lead code reviews and provide technical mentorship to junior and mid-level engineers.
  • Stay abreast of the latest advancements in Generative AI, NLP, and Deep Learning.
  • Optimize model inference and reduce latency for real-time applications.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Minimum of 7+ years of experience in software engineering and machine learning architecture.
  • Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of MLOps, data engineering, and CI/CD pipelines.
  • Proven track record of leading complex technical projects from concept to deployment.
  • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.
  • Experience with LLMs and Large Language Model fine-tuning is highly desirable.

Required Skills

Python Machine Learning Deep Learning Cloud Computing MLOps AWS TensorFlow PyTorch System Design Leadership

Ready to Take This Challenge?

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