Principal Engineer, Technical Architect
Core
Designing and delivering end-to-end AI/ML architectures for NLP, machine vision, and Generative AI solutions, translating business use-cases into technical designs involving LLMs, classical ML, and multi-agent systems.
Role type
Principal Engineer, Technical Architect (AI/ML)
Builds
Scalable AI/ML solutions, multi-agent systems, and Generative AI applications for enterprise clients.
Domain
Artificial Intelligence, Machine Learning, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
AI/ML solution design, LLM and foundation model expertise, multi-agent system design, cloud infrastructure architecture, scalable inference design, MLOps, prompt engineering, RAG implementation, statistical analysis, system design, API-first design, database management
Preferred skills
Experience with GANs, VAEs, and autonomous decision-making systems
Technologies
Python, .NET, Java, Pandas, NumPy, SQL, MySQL, Oracle, MLflow, Kubeflow, Docker, Kubernetes
Responsibilities
Translate business use-cases into AI technical designs and architecture; Define success metrics, evaluation plans, and end-to-end architecture; Review and approve architecture designs for extensibility, scalability, and security; Develop and deploy AI agents and Generative AI frameworks; Conduct POCs to validate design and technology choices; Mentor teams on best practices.
Seniority
Principal, hands-on IC with strategy & mentorship
