AI Cloud Engineer
Genworth Financial INC - Raleigh, North Carolina
Posted May 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AI Cloud Engineer Raleigh, North Carolina At Enact, we understand that there's no place like home. That's why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there. We're looking for a AI Cloud Engineer in Raleigh, NC to join us in fulfilling our mission, while utilizing our values of excellence, improvement, and connection. In this role, you will you'll design, build, and operate AI solutions on AWS. You'll play a key role in operationalizing AI at scale, working across the organization with data scientists, data engineers, and product teams to deliver high-impact GenAI solutions. The ideal candidate has a proven track record of building and operating scalable and secure cloud infrastructure on AWS. Their background includes automating infrastructure using Infrastructure as Code (IaC) and implementing robust CI/CD pipelines. They thrive in cross-functional environments, delivering end-to-end GenAI and cloud solutions. LOCATION Enact Headquarters, Raleigh, NC - Hybrid Schedule YOUR RESPONSIBILITIES GenAI Platform Enablement: Support the development, implementation, scalability and operations of enterprise-grade GenAI platforms. Engineering: Engineer robust, secure, governed, and re-useable GenAI capabilities and patterns across the business by leveraging best-practices in architecture, automation, and DevOps. Collaboration: Contribute to the development and engineering of internal tools, APIs, and infrastructure to streamline adoption of GenAI services across the organization Observability & Quality: Implement end-to-end monitoring, alerting SLA/SLOs, metrics, and cost Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls
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Apply link verified; last checked Jun 13, 2026.
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