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Senior Agentic AI Engineer
Centene Corporation. Design, build, secure, and operate governed agentic AI capabilities for Security Defense Technologies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building agentic AI capabilities, with a strong focus on security automation, software engineering, and compliance with secure SDLC practices. Proficient in developing AI-assisted applications and integrating tools while ensuring operational health and governance.
Highest-signal resume keywords
Agentic AI DevelopmentPython ProgrammingSecurity AutomationAWS ExperienceProject Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI-Enabled SystemsDeterministic Security AutomationThreat ModelingCode ScanningCI/CDContainerizationTelemetry ImplementationData AnalysisProduction-Readiness Validation
Soft Skills
Analytical SkillsDecision-MakingIndependent WorkProblem IdentificationJudgment
Tools & Technologies
APIsGitEnterprise Automation PlatformsBedrocksDatabrisks
Industry Keywords
Governed AI CapabilitiesSecurity Defense TechnologiesAuditabilityHuman Approval PointsOperational Health
Tech Stack
Tools & technologiesAWSPythonSDLC
About the role
Key responsibilities & impact- Design, build, secure, and operate governed agentic AI capabilities for Security Defense Technologies
- Develop agentic workflows, AI-assisted applications, tool integrations, retrieval patterns, and deterministic security automation
- Define agent boundaries, identity, permissions, approved tools, human approval points, auditability, rollback, and emergency-stop behavior
- Build reusable services and components using Python, APIs, Git-based CI/CD, containers, and enterprise automation platforms
- Apply secure SDLC practices, including threat modeling, code and dependency scanning, testing, peer review, and production-readiness validation
- Implement telemetry for agent decisions, tool calls, failures, quality, security events, and operational health
- Partner with security engineering, architecture, governance, platform, and operations teams to move validated prototypes into supported capabilities
- Document architecture, controls, runbooks, test evidence, ownership, and support models
- Perform other duties as assigned
- Comply with all policies and standards
Requirements
What you’ll need- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
- Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science), or equivalent experience acquired through applicable knowledge, duties, scope and skill
- Requires 4–6 years of related experience
- Senior-level experience building production software, security automation, platform engineering, or AI-enabled systems
- Direct experience with agentic AI is strongly preferred, or demonstrated depth in software engineering plus applied AI/LLM development
- Experience with AWS, Bedrocks, and Databrisks preferred
- Intermediate analytical, project management, judgment, decision-making, accuracy, independent-work, and problem-identification skills
Benefits
Comp & perks- Competitive pay
- Health insurance
- 401K
- Stock purchase plans
- Tuition reimbursement
- Paid time off plus holidays
- Flexible approach to work with remote, hybrid, field or office work schedules
- Additional forms of incentives may be included in total compensation