Job Description
We are building the operating systems of the 2026 era. Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our mission of defining the technological landscape of the next decade. As we stand on the precipice of the AI-native era, your work will define how autonomous agents interact with the digital world.
In this role, you will not just write code; you will architect the future of intelligent systems. You will be responsible for designing scalable, ethical, and high-performance AI infrastructures that power our next-generation products. Join us in shaping the technology stack of tomorrow, today.
Responsibilities
- Architect Agentic Workflows: Design and implement complex autonomous AI agent systems capable of multi-step reasoning and self-correction.
- LLM Integration: Lead the integration of state-of-the-art Large Language Models (LLMs) into enterprise-grade applications, optimizing for speed and accuracy.
- System Design: Build robust, fault-tolerant microservices and cloud-native architectures that support real-time AI inference.
- Ethical AI Governance: Define and enforce best practices for bias mitigation, data privacy, and AI safety protocols.
- Technical Leadership: Mentor a team of talented ML engineers and data scientists, fostering a culture of innovation and continuous learning.
- Prototyping: Rapidly prototype and validate cutting-edge AI concepts to ensure they align with our 2026 product roadmap.
Qualifications
- Experience: 7+ years of experience in software engineering and 3+ years specifically in AI/ML architecture.
- Core Skills: Deep expertise in Python, TensorFlow/PyTorch, and distributed system design.
- AI Knowledge: Proven track record of working with LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
- Cloud Mastery: Strong proficiency in AWS, GCP, or Azure with experience deploying machine learning models at scale.
- Problem Solving: Ability to tackle complex, undefined technical problems and translate them into elegant architectural solutions.
- Communication: Exceptional ability to communicate technical concepts to both technical and non-technical stakeholders.