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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect, Next-Gen AI (2026 Focus)

QuantumHorizon Systems
Austin
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the intelligence layer for the future? QuantumHorizon Systems is at the forefront of defining the tech landscape for 2026 and beyond. We are seeking a visionary Senior Architect, Next-Gen AI to lead the development of autonomous agentic workflows and advanced Large Language Model (LLM) ecosystems.

In this high-impact role, you won't just maintain legacy systems; you will build the foundational frameworks that power the next decade of human-machine collaboration. If you thrive in ambiguity and are passionate about pushing the boundaries of what is possible in Generative AI, we want to meet you.

Why Join Us?

  • Shape the Future: Work on bleeding-edge projects that define the 2026 technology roadmap.
  • Top-Tier Compensation: Competitive salary and equity package.
  • Flexible Environment: Hybrid work model based in our Austin headquarters.

Responsibilities

  • Design and deploy scalable Generative AI architectures capable of handling complex, multi-modal data streams.
  • Lead the fine-tuning and alignment of large foundation models for enterprise-specific applications.
  • Architect robust Retrieval-Augmented Generation (RAG) pipelines to ensure hallucination-free, high-fidelity outputs.
  • Implement advanced prompt engineering frameworks and orchestration layers for autonomous agent behaviors.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
  • Mentor junior engineers and set technical standards for AI best practices and ethical AI usage.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning and AI systems.
  • Deep expertise in Python, PyTorch, and modern LLM frameworks (Hugging Face, LangChain).
  • Proven track record of designing and deploying production-grade AI systems at scale.
  • Strong understanding of Transformer architectures, vector databases, and distributed computing.
  • Experience with MLOps tools (MLflow, Kubeflow) and cloud infrastructure (AWS/GCP/Azure).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow LLM GPT Fine-tuning RAG MLOps AWS Kubernetes Transformer Architecture Prompt Engineering Agentic AI

Ready to Take This Challenge?

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