Principal Artificial Intelligence Engineer
2 days ago
Description
- Experience working in agile, cross-functional teams and delivering measurable impact.
- Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of experience architecting and deploying enterprise-scale AI/ML platforms, including GenAI, LLMs, agentic architectures, and MLOps/LLMOps.
- Proven expertise in designing, implementing, and scaling AI infrastructure using Databricks, Azure AI, Snowflake, Spark, Airflow, and related technologies.
- Hands-on experience with production-grade model selection, fine-tuning, evaluation, and responsible AI governance.
- Strong programming skills in Python, PySpark, SQL, and experience with modern AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI Agents SDK).
- Demonstrated ability to lead cross-functional teams and deliver measurable business impact through AI-driven solutions.
- Experience integrating GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops.
- Familiarity with multi-modal AI (text, image, audio) and unstructured data processing
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