Job Description
We are on a mission to engineer the operating system for the future. As a Senior AI Architect within our 2026 Vision division, you will be at the forefront of integrating Generative AI, Autonomous Agents, and Ethical AI frameworks into scalable enterprise infrastructures. We are looking for a visionary leader who understands not just the code, but the societal impact of advanced artificial intelligence.
Your expertise will define how we solve complex problems using next-generation machine learning models. You will bridge the gap between theoretical AI research and production-grade engineering, ensuring our solutions are robust, safe, and revolutionary.
Responsibilities
- Design Next-Gen AI Ecosystems: Architect end-to-end generative AI workflows, focusing on agentic behaviors and autonomous decision-making systems.
- Model Optimization: Fine-tune large language models (LLMs) and multimodal transformers for specific enterprise verticals, optimizing for latency and cost-efficiency.
- Infrastructure Scalability: Design cloud-native architectures that support high-volume inference and real-time learning loops using Kubernetes and serverless technologies.
- Ethical AI Governance: Implement safety guardrails, bias mitigation strategies, and compliance frameworks to ensure responsible AI deployment.
- Technical Leadership: Mentor a team of ML engineers and data scientists, conducting code reviews, architecture planning sessions, and technical evangelism.
- Research Integration: Stay ahead of the curve by integrating cutting-edge research from top AI conferences into our product roadmap.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering with a strong focus on AI/ML.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern LLM frameworks (LangChain, Hugging Face).
- Architectural Skills: Deep understanding of distributed systems, microservices, and cloud architecture (AWS, GCP, or Azure).
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-pressure environments.
- Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and executive leadership.