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Senior AI Architect (2026 Roadmap)

Zenith Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are hiring a visionary Senior AI Architect to lead our 2026 roadmap and define the future of Generative Intelligence. At Zenith Innovations, we aren't just building software; we are architecting the cognitive layer of the digital world. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Agentic workflows, and next-gen RAG systems, this is your stage.

Why join us?

  • Work on cutting-edge AI infrastructure that scales to millions of users.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium San Francisco perks.

Ready to build the impossible? Apply today.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI architectures for our core product suite, focusing on 2026-era capabilities.
  • Model Strategy: Lead the evaluation and deployment of LLMs, optimizing for latency, cost, and hallucination reduction.
  • Technical Mentorship: Guide a team of brilliant ML engineers and data scientists, fostering a culture of innovation and excellence.
  • Product Integration: Collaborate closely with product managers to translate complex AI concepts into robust, user-facing features.
  • R&D: Explore emerging paradigms such as Multimodal AI and Autonomous Agents to stay ahead of the curve.
  • System Optimization: Oversee the MLOps pipeline, ensuring model retraining and deployment cycles are efficient and reliable.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • Experience: 7+ years of experience in software engineering with a strong focus on Machine Learning and Artificial Intelligence.
  • Technical Stack: Deep proficiency in Python, PyTorch, or TensorFlow. Experience with Hugging Face, LangChain, or similar orchestration frameworks.
  • System Design: Demonstrated ability to design fault-tolerant, distributed systems handling high-throughput data streams.
  • Cloud Expertise: Strong experience deploying AI workloads on AWS, GCP, or Azure (e.g., SageMaker, Vertex AI).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning LLM NLP Python PyTorch TensorFlow System Architecture Cloud Computing AWS GCP MLOps Deep Learning

Ready to Take This Challenge?

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

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