Principal Artificial Intelligence Engineer

As an experienced professional in the field of AI and Machine Learning, you have worked in agile, cross-functional teams and have a track record of delivering measurable impact. Your educational background includes a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Key Responsibilities: - Architect and deploy enterprise-scale AI/ML platforms such as GenAI, LLMs, agentic architectures, and MLOps/LLMOps. - Design, implement, and scale AI infrastructure using technologies like Databricks, Azure AI, Snowflake, Spark, Airflow, and related tools. - Utilize hands-on experience for production-grade model selection, fine-tuning, evaluation, and responsible AI governance. - Demonstrate strong programming skills in Python, PySpark, SQL, and proficiency with modern AI/ML frameworks like LangChain, Hugging Face, OpenAI Agents SDK. - Lead cross-functional teams to deliver measurable business impact through AI-driven solutions. - Integrate GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops. - Work with multi-modal AI (text, image, audio) and unstructured data processing. Qualifications Required: - Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. - 8+ years of experience in architecting and deploying enterprise-scale AI/ML platforms. - Proven expertise in designing, implementing, and scaling AI infrastructure. - Strong programming skills in Python, PySpark, SQL, and experience with modern AI/ML frameworks. - Ability to lead cross-functional teams and deliver measurable business impact through AI-driven solutions. - Experience with integrating GenAI models into enterprise applications and familiarity with multi-modal AI and unstructured data processing. This job requires someone with a strong background in AI and Machine Learning, who can lead teams and drive business impact through innovative solutions.,