Job Description
We are at the precipice of a technological revolution. Nexus Future Labs is seeking a visionary Future of AI Architect to lead the design and deployment of next-generation autonomous systems. In this role, you won't just implement existing solutions; you will architect the foundational intelligence that will power our operations and our clients' businesses through 2026 and beyond.
You will work in a high-performance environment focused on Generative AI, Agentic workflows, and ethical AI deployment. If you are passionate about building systems that think, adapt, and scale, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design scalable AI infrastructures capable of handling high-frequency data streams and complex decision-making loops for the 2026 landscape.
- Lead Model Development: Oversee the training and fine-tuning of Large Language Models (LLMs) and multimodal AI agents.
- Optimize Performance: Implement cutting-edge optimization techniques to reduce inference latency and improve model accuracy in real-time applications.
- Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and transparency to ensure responsible deployment.
- Collaborative Innovation: Partner with product managers and engineers to translate complex business requirements into robust technical roadmaps.
- Future-Proofing: Stay ahead of industry trends to recommend and integrate emerging technologies (e.g., Neuromorphic Computing, Edge AI) into our core stack.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
- Experience: 7+ years of professional experience in AI/ML architecture, with at least 3 years in a leadership or senior technical role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- System Design: Strong understanding of distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
- Generative AI: Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
- Problem Solving: Proven track record of solving complex engineering challenges and delivering high-impact projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.