Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap | San Francisco, CA

Nexus Core Systems
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to shape the future of technology? Nexus Core Systems is hiring a visionary Senior AI Architect to lead our strategic roadmap for 2026. As we transition into the next era of generative intelligence and autonomous agents, we need a technical leader who can design robust, scalable, and secure systems. This is not just a coding role; it is a strategic leadership position defining the architecture of tomorrow.

We are looking for a thought leader who understands the nuances of large language models (LLMs), vector databases, and edge computing. You will collaborate with cross-functional teams to translate business goals into technical roadmaps, ensuring our platform remains at the forefront of the industry by 2026.

Responsibilities

  • Define and lead the technical architecture for the 2026 product roadmap, focusing on AI scalability.
  • Design and implement high-performance machine learning pipelines and data ingestion strategies.
  • Lead a team of talented engineers and data scientists, providing mentorship and technical guidance.
  • Collaborate with product managers to define feature requirements and technical specifications.
  • Optimize existing models for latency, throughput, and cost-efficiency.
  • Stay ahead of industry trends, particularly in Generative AI and Edge AI, to drive innovation.
  • Ensure system security, reliability, and compliance with industry standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern machine learning frameworks.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading large-scale distributed systems and machine learning projects.
  • Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master's degree in Computer Science, Artificial Intelligence, or a related field is preferred.
  • Experience with MLOps and Model Monitoring tools (e.g., MLflow, SageMaker, Vertex AI).

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes System Design Leadership AI Strategy Machine Learning MLOps

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All