Job Description
Are you ready to define the technological standard for the year 2026? At Nexus Future Labs, we are building the next generation of autonomous systems designed to operate in a hyper-connected, predictive world. We are seeking a visionary Lead Agentic AI Architect to spearhead the development of our proprietary AI frameworks, ensuring our solutions are not just functional today, but future-proof for the 2026 landscape.
In this role, you will bridge the gap between theoretical AI research and scalable enterprise deployment. You will lead a high-performance team of machine learning engineers and data scientists, architecting systems that leverage Large Language Models (LLMs) and autonomous agent workflows to solve complex, real-world problems. This is a unique opportunity to shape the future of work and automation.
Why join us?
We offer a competitive salary, comprehensive benefits, and the chance to work on cutting-edge technology that will define the industry standards for the coming decade. If you are passionate about the future of AI and want to build the infrastructure for 2026, we want to hear from you.
Responsibilities
- Architect Agentic Systems: Design and implement scalable architectures for autonomous AI agents capable of complex reasoning and multi-step decision-making processes.
- Model Optimization: Lead the research and deployment of Large Language Models, focusing on performance optimization, fine-tuning, and cost-effective inference strategies.
- Future-Proofing Roadmap: Define the technical roadmap for 2026, identifying emerging technologies (e.g., quantum-resistant algorithms, advanced predictive analytics) and integrating them into our core stack.
- Team Leadership: Mentor a diverse team of engineers and data scientists, fostering a culture of innovation, code quality, and continuous learning.
- Collaboration: Partner with product managers and business stakeholders to translate complex technical requirements into actionable AI solutions.
- R&D Strategy: Conduct in-depth research to stay ahead of industry trends and maintain a competitive edge in the AI space.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent extensive industry experience).
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and system design.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems. Experience with LangChain, AutoGPT, or similar agent frameworks is highly preferred.
- Leadership: Proven track record of leading technical teams and managing cross-functional projects from conception to delivery.
- Problem Solving: Exceptional ability to solve ambiguous problems and design robust systems for high-stakes environments.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.