Back
Tier-1 employer, metro location, and broad ML+systems requirements increase candidate competition.
Principal AI systems role demands specialized ML/AI and systems experience, limiting cross-industry transferability.
Explicit 10+ years requirement and domain-specific AI/architecture mandates create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and design scalable, reliable, high-performance software and AI-driven platforms and systems.
Lead full lifecycle development of complex AI-powered applications, including AI agents for automation and workflow orchestration.
Guide engineering standards, conduct code reviews, mentor junior engineers, and drive system performance, scalability, and security enhancements.
Minimum 10+ years of professional software development experience.
Strong expertise in system design, distributed systems, scalable architectures, and proficiency in languages like Python, Java, Go, or C++.
Experience with cloud platforms (AWS, Azure, or GCP), APIs, microservices, event-driven architectures, and databases (SQL and NoSQL).
Familiarity with AI technologies including LLMs, prompt engineering, AI agent frameworks (e.g., LangChain, AutoGen), vector databases, embeddings, and production AI integration.
Experienced in architecting and leading software systems with strong ownership over AI and automation solutions.
Demonstrates ability to bridge technical and business discussions and implement long-term system architecture.
Has familiarity or interest in platform engineering, MLOps, Kubernetes/Docker, CI/CD, and multi-agent AI systems as a plus.