
Leading company in the healthcare industry
Principal AI Governance Scientist - Artificial Intelligence
必須スキル
Machine Learning
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.
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
Position Purpose: Leads the technical evaluation and assurance efforts within our AI Governance team. Establishes enterprise-grade, decision-relevant methodologies for red teaming, testing, and evaluating AI systems across traditional ML, Generative AI, and Agentic AI applications, ensuring evaluations directly inform AI governance decisions, deployment readiness, and ongoing oversight.
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Develops reproducible frameworks to measure AI value, user impact, and broader outcomes to support responsible scaling, risk acceptance, and investment decisions
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Designs rigorous evaluation methodologies for assessing AI system performance, safety, reliability, and alignment with intended use across the AI lifecycle, from development through deployment and monitoring
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Develops criteria and benchmarks to determine whether existing evaluations are adequate and sufficient for different AI applications and risk profiles
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Designs and executes comprehensive red team exercises to identify vulnerabilities, failure modes, and unintended behaviors across diverse AI systems and devise solutions to address them
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Develops rigorous evaluation methodologies and criteria to assess whether existing evaluations are adequate and sufficient for different AI applications and risk profiles
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Establishes standards for evaluation coverage, rigor, and documentation across the AI lifecycle
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Establishes reproducible methodologies for measuring business value, user impact, and societal outcomes of AI systems using causal inference and experimental design
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Advances the scientific understanding of AI evaluation and safety through white papers and trainings
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Provides technical leadership and mentorship to scientists, engineers, and compliance professionals while building organizational evaluation capabilities
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Stays at the forefront of AI safety research and identify novel risks emerging from advanced AI capabilities, particularly in frontier models
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Translates complex technical findings into actionable recommendations for leadership, governance boards, and cross-functional teams
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Collaborates with external researchers, institutions, and industry partners to advance evaluation methodology and contribute to the broader AI safety community
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Performs other duties as assigned
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Complies with all policies and standards
Education/Experience: Bachelor's Degree Computer Science, Machine Learning, Statistics, or related quantitative field; or equivalent experience required.
Master's Degree preferred:
Technical Skills:
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6+ years AI/ML research, including 3+ years focused on model evaluation, safety, or robustness required. 8+ years preferred
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Deep technical expertise in modern AI systems with hands-on experience evaluating large language models, generative AI, and/or agentic systems required
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Proven track record designing rigorous evaluation methodologies and publication record required
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Strong foundation in statistical methods, experimental design, causal inference, and excellent Python programming skills with ML frameworks required
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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
Pay Range: $134,600.00 - $249,000.00 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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Centeneについて

Centene
PublicCentene 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+
従業員数
the Greater St
本社所在地
$17B
企業価値
レビュー
10件のレビュー
3.3
10件のレビュー
ワークライフバランス
3.8
報酬
2.8
企業文化
3.7
キャリア
2.5
経営陣
2.8
62%
知人への推奨率
良い点
Flexible hours and schedule
Good benefits and health benefits
Strong team culture and collaboration
改善点
Limited career advancement and upward mobility
Poor management and lack of direction
Overwhelming workload and stress
給与レンジ
20件のデータ
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Scientist L1
0件のレポート
$98,351
年収総額
基本給
-
ストック
-
ボーナス
-
$83,598
$113,104
面接レビュー
レビュー3件
難易度
2.7
/ 5
期間
14-28週間
内定率
33%
体験
ポジティブ 33%
普通 0%
ネガティブ 67%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Hiring Manager Interview
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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