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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote, hot GenAI role but senior and highly specialized, yielding medium competition density.
Strong GenAI, LLM, Snowflake and cloud production requirements limit transferable candidates across industries.
Explicit 8+ years and mandatory LLM, Snowflake, and cloud production skills make filters highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and implement scalable Generative AI and Agentic AI solutions end-to-end with enterprise-grade reliability on Azure or AWS.
Convert client business and technical requirements into technical designs; write and review high-level architecture and framework documents.
Lead technical decision-making, design reviews, POCs, and issue resolution to ensure extensibility, scalability, security, and best practices adherence.
Minimum Requirements
8+ years total experience in AI/ML engineering.
Deep expertise in LLMs (GPTs, Llama, Claude, etc.), prompt engineering, RAG architectures, fine-tuning, and evaluation techniques.
Proficiency in Python, AI/ML libraries (LangChain, Hugging Face, PyTorch/TensorFlow, Scikit-learn), SQL, Pandas, Snowflake Data Cloud, and managed AI/ML cloud services (Azure ML Studio or AI Foundry).
Bachelor’s or master’s degree in Computer Science, IT, or related field.
Ideal Candidate Profile
Proven track record delivering production-grade Generative AI solutions on Azure or AWS with scalable, maintainable code.
Experience bridging business requirements and technical design to lead cross-functional AI projects and define non-functional benchmarks.
Hands-on familiarity with vector databases, anomaly detection, model context protocols, and open-source GenAI contributions.