Senior Agentic AI Engineer/Developer

Centene Corporation•Remote-MO, MO

1d•$87,000 - $161,300

About The Position

Design, build, secure, and operate governed agentic AI capabilities that reduce repetitive security engineering work and create reusable automation patterns for Security Defense Technologies. The role combines software engineering, AI-agent development, application security, platform integration, and production operational discipline. The position develops agentic workflows, AI-assisted applications, tool integrations, retrieval patterns, and deterministic automation for security use cases. It defines agent boundaries, identity, permissions, approved tools, human approval points, auditability, rollback, and emergency-stop behavior. It builds reusable services and components using Python, APIs, Git-based CI/CD, containers, and enterprise automation platforms, while applying secure SDLC practices and implementing telemetry for agent decisions, tool calls, failures, quality, security events, and operational health. The role partners with security engineering, architecture, governance, platform, and operations teams to move validated prototypes into supported capabilities. It documents architecture, controls, runbooks, test evidence, ownership, and support models. Other duties may be assigned, and the role must comply with all policies and standards. Applicants must be authorized to work in the U.S. without current or future employment-based visa sponsorship. Sponsorship is unavailable for the visa types listed in the posting.

Requirements

Bachelor's degree in a quantitative or business field, such as statistics, mathematics, engineering, or computer science, and 4–6 years of related experience, or equivalent experience acquired through applicable knowledge, duties, scope, and skill.
Senior-level experience building production software, security automation, platform engineering, or AI-enabled systems.
Must be authorized to work in the U.S. without the need for current or future employment-based visa sponsorship.
Intermediate ability to seek and acquire knowledge in the area of specialty.
Intermediate ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
Intermediate ability to work independently.
Intermediate analytical skills.
Intermediate project management skills.
Intermediate ability to maintain a high level of accuracy, even under pressure.
Intermediate judgment and decision-making skills.

Nice To Haves

Direct experience with agentic AI; demonstrated depth in software engineering plus applied AI/LLM development may substitute.
Experience with AWS, Bedrocks, and Databrisks.

Responsibilities

Develop agentic workflows, AI-assisted applications, tool integrations, retrieval patterns, and deterministic automation for security use cases.
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.