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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Roadmap)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Artificial Intelligence

Apex Future Systems is on a mission to redefine the technological landscape by 2026. We are looking for a visionary Senior AI/ML Architect to lead our strategic roadmap and build scalable, high-performance systems that will power the next generation of intelligent applications. If you thrive in a fast-paced, innovative environment and want to leave a lasting legacy in the tech industry, we want to meet you.

Why Join Us?

  • Impactful Work: Directly influence the architectural decisions that will define AI capabilities in 2026.
  • Competitive Package: Salary up to $260k plus comprehensive benefits.
  • Innovation First: Work with cutting-edge tools and methodologies.

Responsibilities

  • Define and execute the technical vision for the company's AI roadmap leading up to 2026.
  • Design and implement scalable machine learning infrastructure and distributed systems.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Mentor and lead a team of talented engineers, fostering a culture of technical excellence.
  • Stay ahead of industry trends and evaluate emerging technologies to drive innovation.
  • Optimize model performance and reduce latency for real-time applications.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Skills

Python, Machine Learning, Deep Learning, System Architecture, Cloud Computing, Kubernetes, TensorFlow, PyTorch, Leadership

Responsibilities

  • Define and execute the technical vision for the company's AI roadmap leading up to 2026.
  • Design and implement scalable machine learning infrastructure and distributed systems.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Mentor and lead a team of talented engineers, fostering a culture of technical excellence.
  • Stay ahead of industry trends and evaluate emerging technologies to drive innovation.
  • Optimize model performance and reduce latency for real-time applications.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning System Architecture Cloud Computing Kubernetes TensorFlow PyTorch Leadership

Ready to Take This Challenge?

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