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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Autonomous Systems

OmniFuture Technologies
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technical roadmap for our next-generation autonomous systems. As we prepare for the era of 2026 AI, you will lead the design and implementation of self-learning agents capable of complex reasoning and adaptive decision-making. This is a high-impact role for a technical leader passionate about shaping the future of intelligent automation.

Why Join Us?

  • Work on cutting-edge Generative AI and Agentic workflows.
  • Competitive compensation package with equity opportunities.
  • Remote-first culture with flexibility for top talent.

Responsibilities

  • Architect Multi-Agent Systems: Design scalable, distributed architectures for autonomous AI agents that can collaborate and solve complex problems independently.
  • LLM Integration: Lead the integration and optimization of Large Language Models (LLMs) to enhance agent reasoning and response accuracy.
  • Performance Optimization: Engineer high-performance inference pipelines and optimize model serving latency to support real-time autonomous operations.
  • R&D Leadership: Conduct research into emerging AI paradigms relevant to the 2026 landscape, including reinforcement learning and memory-augmented networks.
  • Technical Strategy: Define best practices for prompt engineering, agent safety, and ethical AI deployment across the organization.
  • Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
  • Experience: 5+ years of professional experience in machine learning, artificial intelligence, or software engineering with a strong focus on AI systems.
  • Technical Stack: Deep proficiency in Python, PyTorch, or TensorFlow; proven experience with LangChain, LlamaIndex, or similar agent frameworks.
  • System Design: Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization technologies (Docker/Kubernetes).
  • Creative Problem Solving: Demonstrated ability to think outside the box and innovate solutions for futuristic technical challenges.
  • Communication: Exceptional ability to translate complex technical concepts into clear strategies for cross-functional teams.

Required Skills

Python Machine Learning Deep Learning PyTorch Large Language Models Autonomous Agents LangChain Distributed Systems Cloud Computing

Ready to Take This Challenge?

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