Job Description
Are you ready to architect the future of intelligent systems? Nexus Core Technologies is seeking a visionary Senior AI Architect (2026 Vision) to lead our next-generation artificial intelligence initiatives. In this pivotal role, you will define the technical roadmap for cutting-edge AI solutions, ensuring our products remain at the forefront of the industry by 2026 and beyond.
We are looking for a thought leader who combines deep technical expertise with a strategic mindset. You will be responsible for designing scalable machine learning infrastructure, overseeing the integration of generative AI models, and mentoring a team of talented engineers.
Why Join Us?
- Work on transformative projects that impact millions of users.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect Future-Proof AI Systems: Design and implement scalable machine learning infrastructure capable of supporting high-volume, low-latency applications in the 2026 landscape.
- Lead the 2026 Roadmap: Define the technical vision and strategy for AI innovation, collaborating with product and engineering teams to deliver breakthrough features.
- Optimize Model Performance: Oversee the training, fine-tuning, and deployment of Large Language Models (LLMs) and neural networks to ensure maximum accuracy and efficiency.
- Cloud & MLOps Integration: Spearhead the migration to modern cloud-native architectures, implementing robust CI/CD pipelines for AI model training and deployment.
- Talent Development: Mentor junior and senior engineers, fostering a culture of technical excellence and continuous learning within the AI division.
- Risk Management: Identify potential biases in AI models and implement strategies to ensure ethical, transparent, and compliant AI usage.
Qualifications
- Education: Bachelor’s degree in Computer Science, Artificial Intelligence, or a related technical field (Master’s degree preferred).
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI, Machine Learning, or Data Science architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or JAX; extensive experience with MLOps tools (Docker, Kubernetes, MLflow).
- Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and their specific AI services.
- Generative AI: Hands-on experience with fine-tuning LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering.
- Soft Skills: Exceptional communication skills, the ability to translate complex technical concepts for non-technical stakeholders, and strong leadership qualities.