- Company Name
- Nicholson Glover
- Job Title
- Lead Data Scientist (Agentic AI)
- Job Description
-
Job Title: Lead Data Scientist (Agentic AI)
Role Summary:
Lead end‑to‑end delivery of agentic AI solutions for enterprise customers, combining deep technical expertise with ownership of client projects and post‑sale success.
Expactations:
Deliver production‑grade AI systems that scale with customer data, lead cross‑functional teams, and maintain strong client relationships through design, implementation, and continuous improvement.
Key Responsibilities:
- Own client projects from requirements through design, development, QA, and production deployment.
- Design and build LLM‑based, RAG, and agentic workflows, ensuring scalability, reliability, and compliance.
- Collaborate with engineering and product to define architecture, API contracts, and data pipelines.
- Mentor and review the data science team, fostering technical excellence and knowledge transfer.
- Serve as primary technical steward for clients, managing expectations, setting milestones, and providing post‑deployment support.
- Evaluate and incorporate new AI research and tools to enhance solution capabilities.
Required Skills:
- Proficiency in Python, PyTorch/TensorFlow, and modern ML pipelines (Airflow, Prefect).
- Hands‑on experience building production LLM, RAG, and agentic systems (e.g., LangChain, OpenAI, Azure OpenAI).
- Strong understanding of data ingestion, feature engineering, and model serving at scale.
- Demonstrated project leadership with ability to manage technical and business stakeholders.
- Familiarity with cloud AI platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and container orchestration.
Required Education & Certifications:
- Ph.D. or Master’s in Computer Science, AI, ML, or related field, or 5+ years in senior data science/AI roles with deliverable results.
- Certification in AI/ML (AWS, GCP, Azure) or equivalent is a plus.