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Senior specialized LLM role with strong technical bar reduces but still attracts many qualified applicants.
Highly specialized ML/LLM, MLOps, and agentic AI experience required, limiting cross-industry transferability.
Explicit 8-15 years plus deep MLOps, cloud, LLM and leadership requirements makes filters very strict.
Lead technical design and delivery of large, complex AI/ML systems including LLMs, Agentic AI, RAG, and MLOps platforms.
Own architecture decisions and engineering standards for enterprise-scale AI features and services, balancing performance, cost, and reliability.
Mentor AI engineering team members and collaborate with product and business stakeholders to align AI solutions with business goals.
8-15 years of professional experience in AI, Machine Learning, or software engineering with delivery of ML/AI systems to production.
Bachelor's or Master's degree in Computer Science, AI, Data Science or related field; advanced degree preferred.
Expert-level Python skills, strong software architecture background, and proven experience with generative AI and LLM production systems.
Experience with major cloud platforms (Azure, AWS, or Google Cloud), containerized distributed systems, and MLOps/LLMOps practices including CI/CD and lifecycle automation.
Senior technical leader with deep hands-on experience designing and scaling generative AI and Agentic AI systems in production environments.
Experienced in establishing engineering standards, responsible AI practices, and driving cross-functional program delivery at enterprise scale.
Strong mentorship capabilities and ability to influence both engineering teams and senior stakeholders, aiming for Principal-level technical leadership progression.