- Company Name
- PRI Technology
- Job Title
- Agentic Artificial Intelligence Data Scientist Engineer
- Job Description
-
Job Title: Agentic AI Senior Data Scientist Engineer
Role Summary:
Lead the design, development, and deployment of agentic AI systems, large language models, and intelligent automation solutions to transform business processes, enhance decision‑making, and drive measurable growth across enterprise products and services. Act as an individual contributor and technical mentor, collaborating with product, engineering, and executive stakeholders on high‑visibility projects.
Expectations:
* Transform cutting‑edge research in agentic AI, reinforcement learning, and reasoning into production‑ready, scalable solutions.
* Align AI initiatives with strategic business objectives and demonstrate ROI through measurable impact on underwriting, claims, customer servicing, and risk assessment.
* Mentor junior data scientists, standardize AI/ML practices, and contribute to institutional knowledge sharing within the Data Science Lab.
Key Responsibilities:
1. Design and deploy agentic AI solutions for complex workflow automation and advanced decision support.
2. Operationalize large language models and generative AI for unstructured data processing (contracts, claims, medical records, customer interactions).
3. Build autonomous agents and multi‑step reasoning systems integrated with core platforms.
4. Partner with data engineering and AIOps teams to ensure scalability, robustness, and seamless enterprise deployment.
5. Translate academic research into practical products from prototype to production.
6. Define use cases with product owners, design solutions, and measure business outcomes.
7. Establish repeatable frameworks for agentic AI development, testing, and deployment within the Data Science Lab.
8. Provide technical leadership, monitor performance metrics, and mentor junior talent.
Required Skills:
* Ph.D. in Statistics, Computer Science, Engineering, Applied Mathematics, or equivalent with 2+ years experiential experience *or* Master’s degree with 4+ years experience.
* Minimum 3 years of hands‑on AI modeling and development.
* Strong foundation in probability, statistics, machine learning algorithms, optimization, and statistical modeling.
* Proficiency in Python; experience with PyTorch, TensorFlow, LangGraph, or comparable deep learning frameworks.
* Expertise in large language models, generative AI, reinforcement learning, and agential reasoning.
* Ability to operationalize models at scale (cloud, containerization, AIOps).
* Excellent communication, cross‑functional collaboration, and executive‑level presentation skills.
* Proven leadership in mentoring, technical guidance, and performance monitoring.
Required Education & Certifications:
* Ph.D. (minimum 2 years experience) *or* Master’s degree with 4+ years experience in Statistics, Computer Science, Engineering, Applied Mathematics, or related field.
* No additional certifications specified.