Job Description
We are seeking a visionary Lead AI Architect to pioneer the technological landscape for the year 2026 and beyond. At FutureCore Systems, we are not just building software; we are architecting the future of intelligent automation. In this role, you will lead the design and implementation of next-generation Generative AI and Large Language Model (LLM) infrastructures that will define the standard for enterprise innovation.
If you are passionate about pushing the boundaries of what's possible in Artificial Intelligence and want to lead a team of elite engineers, this is your opportunity to make an impact on a global scale.
Responsibilities
- Architect Next-Gen AI Systems: Lead the end-to-end design and deployment of scalable AI/ML models, focusing on Generative AI, NLP, and predictive analytics for the 2026 roadmap.
- Research & Development: Spearhead R&D initiatives to explore emerging AI paradigms, ensuring FutureCore remains at the cutting edge of technology.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation, technical excellence, and continuous learning.
- Model Optimization: Drive the optimization of existing models for latency, throughput, and cost-efficiency in production environments.
- Strategic Collaboration: Partner with product managers and stakeholders to translate complex business requirements into robust technical architectures.
- Ethical AI Implementation: Ensure all AI systems adhere to strict ethical guidelines, bias mitigation standards, and data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 5+ years of experience in software engineering with a strong focus on AI/ML architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with LangChain, Hugging Face, and vector databases is highly preferred.
- Cloud Mastery: Strong experience deploying AI workloads on major cloud platforms (AWS, GCP, or Azure).
- System Design: Deep understanding of distributed systems, microservices, and high-availability architecture.
- Leadership: Proven track record of leading technical teams and managing large-scale projects from conception to delivery.