Data Scientist – Agentic AI/Graph/LLM Science , Assistant Vice President
Listed on 2026-05-31
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Who we are looking for
We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML science team as part of the Agentic AI platform buildout. The Science pillar advances LLM research, fine‑tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production‑grade agents and platform features.
Why this role is important to usThis role will focus on applied research and product-oriented data science requirements – designing and validating domain‑specific LLM solutions, building evaluation taxonomies and metrics, and operationalizing fine‑tuning/tooling for business use cases.
Responsibilities- Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs
- LLM research and fine‑tuning including evaluating foundational models, fine‑tuning and prompt optimization with robust data curation and governance alignment
- Establish evaluation frameworks & taxonomies and frontier model evaluation and buildout
- Develop and maintain knowledge graphs and embeddings for semantic search and reasoning
- Build inference engine for scalable, low‑latency serving for tuned models, agentic workflows and cost optimization
- Collaborate with engineering teams to deploy scalable AI solutions in production environments
- Conduct experiments and evaluations to benchmark model performance and ensure robustness
- Opportunity to research, document and socialize findings
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
- 3+ years of experience in applied machine learning or NLP.
- Hands‑on experience with LLMs, GenAI or NLP at production scale.
- Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction.
- Proficiency in Python and ML libraries (PyTorch, Tensor Flow, Scikit‑learn).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Prior work on agentic AI is a big plus.
Salary Range: $90,000 - $157,500 annually. The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.
BenefitsEmployees are eligible to participate in the comprehensive benefits program, which includes a retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability and other optional additional coverages; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to an Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles);
and eligibility for certain tax‑advantaged savings plans. For a full overview, visit
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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