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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Solutions Architect

NexaCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems?

NexaCore Systems is at the forefront of next-generation artificial intelligence, building solutions that redefine industries. We are seeking a visionary Senior AI Solutions Architect to lead our engineering division in San Francisco. In this role, you won't just write code; you will design the neural architectures that power our global clients.

We are looking for a self-driven individual who thrives in a fast-paced, high-performance environment. If you are passionate about Generative AI, Large Language Models (LLMs), and scalable machine learning pipelines, this is your opportunity to make a significant impact.

Why Join Us?

  • Work with state-of-the-art technology and cutting-edge frameworks.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with a dynamic office in downtown SF.
  • Professional development and continuous learning stipends.

Responsibilities

  • Design, develop, and deploy scalable AI/ML models and infrastructure.
  • Lead the architecture strategy for complex data-driven products, ensuring high performance and reliability.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing algorithms and data pipelines to improve efficiency and reduce latency.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research and implement best practices.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of professional experience in software engineering, with at least 3 years specializing in AI/ML.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of machine learning fundamentals, NLP, and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in an Agile/Scrum environment.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning NLP Data Architecture Agile

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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