Job Description
We are looking for a visionary Lead Agentic AI Architect to define the technological roadmap for the year 2026. At Nexus Horizon Labs, we are building the autonomous operating systems of tomorrow. You will lead a team of elite engineers in developing next-generation AI agents capable of complex reasoning, self-correction, and seamless human collaboration.
If you are passionate about the future of Artificial General Intelligence and want to shape the standards that will define the industry in 2026, this is your opportunity to lead.
Why Join Us?
We offer top-tier compensation, stock options, and the chance to work on cutting-edge technology that will revolutionize the global workforce.
Responsibilities
- Architect Autonomous Systems: Design and implement scalable architectures for multi-agent AI systems capable of autonomous decision-making and long-term planning.
- Model Orchestration: Lead the integration of state-of-the-art LLMs with real-time data streams to create self-improving agent loops.
- Future-Proof Development: Build technical roadmaps and proof-of-concepts that anticipate the needs and capabilities of AI in 2026 and beyond.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Risk Mitigation: Develop robust safety protocols and ethical guidelines for autonomous AI agents to ensure responsible deployment.
- Performance Optimization: Drive the optimization of inference speeds and resource efficiency for complex agent workflows.
Qualifications
- Education: Master’s degree or PhD in Computer Science, AI, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and modern LLM frameworks (LangChain, AutoGPT).
- System Design: Proven track record of designing complex, distributed systems at scale.
- Agentic AI: Demonstrated experience or research in autonomous agents, multi-agent systems, or reinforcement learning.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable strategies for stakeholders.