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Centene
Centene

Leading company in the healthcare industry

Senior AI Governance Scientist - Artificial Intelligence

职能机器学习
级别资深
地点16 Locations
方式现场办公
类型全职
发布1周前
立即申请

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.

Position Purpose:

Leads advanced technical evaluation and assurance activities within our AI Governance function. This role is hands-on and execution-focused, responsible for designing, conducting, and scaling rigorous evaluations of AI systems—including traditional machine learning, generative AI, and agentic AI—to assess safety, reliability, robustness, and alignment with intended use.
Plays a critical role in operationalizing AI governance through experimentation, red teaming, and evaluation frameworks, while partnering closely with engineering, product, and research teams to embed evaluation practices into the AI development lifecycle.

  • Executes comprehensive red team and stress-testing exercises to identify vulnerabilities, failure modes, and safety risks across AI systems, including large language models, generative models, and autonomous agents.

  • Designs, implements, and refines evaluation methodologies and protocols to assess AI performance, safety, reliability, and alignment with intended use cases.

  • Evaluates the adequacy and sufficiency of existing AI evaluations, identify gaps in coverage or rigor, and recommend targeted improvements.

  • Designs and conducts reproducible experiments to measure AI value, impact, and risk, applying statistical methods and causal inference techniques where appropriate.

  • Develops and maintains automated testing frameworks and evaluation pipelines that scale across the organization’s AI portfolio.

  • Researches and applies novel attack vectors and stress-testing approaches for generative AI (e.g., prompt injection, jailbreaking, hallucination risks) and agentic systems (e.g., autonomy boundary violations, goal misalignment).

  • Creates and curates benchmarks, datasets, and metrics aligned to specific AI capabilities, risk profiles, and governance requirements.

  • Documents evaluation methodologies, findings, and recommendations in clear, governance-ready technical reports for review by governance bodies and cross-functional stakeholders.

  • Partners with product, engineering, and research teams to integrate evaluation and assurance practices into AI design, development, and deployment workflows.

  • Performs other duties as assigned.

  • Complies with all policies and standards.

Education/Experience:

  • Bachelor's Degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent applied research experience required.

Master's Degree preferred:

  • 5+ years AI/ML research or applied AI development, including at least 3 years focused on model evaluation, safety, robustness or validation required. 7+ years preferred

Technical Skills:

  • Strong technical foundation in machine learning and deep learning, with hands-on experience evaluating or developing modern AI systems required

  • Demonstrated experience designing and executing AI evaluation, testing, or validation methodologies across multiple AI paradigms required

  • Solid understanding of statistical analysis, experimental design, and data analysis techniques relevant to AI evaluation required

  • Experience designing evaluation methodologies and publication record preferred

  • Familiarity with Python‑based AI/ML stack using Py Torch and Databricks, with agentic AI frameworks (Lang Chain, Llama Index, Lang Graph, Auto Gen, CrewAI) for single‑ and multi‑agent systems. Strong focus on LLM observability, MLOps, and evaluation using Lang Smith, MLflow, Weights & Biases, Datadog, OpenTelemetry, and testing frameworks like Deep Eval and Lang Test

Licenses/Certifications:

  • Industry related certifications preferred

Pay Range: $107,700.00 - $199,300.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

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关于Centene

Centene

Centene

Public

Centene Corporation is an American for-profit healthcare company that serves as an intermediary for government-sponsored and privately insured healthcare programs. Based in Clayton, Missouri, Centene ranked No. 23 on the 2025 Fortune 500.

10,001+

员工数

the Greater St

总部位置

$17B

企业估值

评价

10条评价

3.3

10条评价

工作生活平衡

3.8

薪酬

2.8

企业文化

3.7

职业发展

2.5

管理层

2.8

62%

推荐率

优点

Flexible hours and schedule

Good benefits and health benefits

Strong team culture and collaboration

缺点

Limited career advancement and upward mobility

Poor management and lack of direction

Overwhelming workload and stress

薪资范围

20个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L3

L4

L5

Junior/L3 · Data Scientist L1

0份报告

$98,351

年薪总额

基本工资

-

股票

-

奖金

-

$83,598

$113,104

面试评价

3条评价

难度

2.7

/ 5

时长

14-28周

录用率

33%

体验

正面 33%

中性 0%

负面 67%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Hiring Manager Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit