🕒 2 days ago
Leads scientific direction for upstream AI safety and evaluation, designing experiments and robust infrastructure while guiding teams and partnering with clients on high-stakes engagements.
Principal Data Scientist - R01556906
📅 Oct 9, 2025
Agentic AILarge Language Models (llms)Multi-agent SystemsPython
📜 Description
- Architect, experiment with, and fine-tune LLMs for business applications.
- Lead agentic AI proofs of concept and production implementations using frameworks such as LangGraph, LangChain, CrewAI, and AutoGen.
- Design multi-agent systems with human-in-the-loop decisions, contextual reasoning, and memory management.
- Build fine-tuning and RAG pipelines with open-source and proprietary foundation models.
- Partner with AI engineering, data platform, product, and business teams to operationalize AI solutions and shape data-driven strategies.
- Evaluate emerging AI technologies, mentor data scientists and ML engineers, and contribute to AI Center of Excellence initiatives.
🛠️ Requirements
- 14–22 years of overall experience with at least 4+ years in advanced AI/LLM/GenAI research or engineering.
- Deep expertise in Agentic AI and building multi-agent workflows using LangGraph, LangChain, AutoGen, CrewAI, or Haystack.
- Strong hands-on programming skills in Python, with working proficiency in R or Scala.
- Proven experience with LLM fine-tuning, adapter methods (LoRA, QLoRA, PEFT), RAG pipelines, and vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus).
- Strong understanding of transformer architectures, tokenization, prompt optimization, and model evaluation metrics.
- Experience integrating LLMs with enterprise data systems, APIs, and orchestration pipelines (Databricks, AWS, Azure ML, Vertex AI).
- Demonstrated success leading POCs and production-grade implementations in Agentic AI use cases (knowledge assistants, automation, data analysis, etc.).
- Familiarity with data engineering, MLOps/LLMOps, and cloud-native AI deployment.
- Excellent analytical, communication, and leadership skills with a track record of mentoring teams and driving innovation.
- Advanced degree (Ph.D./M.Tech/M.S.) in Computer Science, AI, Machine Learning, Data Science, or a related field.
Full job description
Principal Data Scientist
Primary Skills
Specialization
Job requirements
We are seeking a highly accomplished Principal Data Scientist with extensive experience in Agentic AI, Large Language Models (LLMs), and enterprise-grade AI/ML systems. The ideal candidate will lead the design, experimentation, and deployment of autonomous, multi-agent AI systems leveraging LLMs, knowledge graphs, and reasoning frameworks. This is a strategic and hands-on role at the intersection of data science, AI research, and engineering leadership.
Key Responsibilities
Required Skills & Experience
Preferred Qualifications
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