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Language Fluency: English (Required)

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Please review the following job description:

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed both major and minor which are not mentioned below. Specific activities may change from time to time.

• Design build and execute the AI/ML and GenAI platform strategy aligned to enterprise architecture security and risk standards.

• Own the engineering and lifecycle management of AI/ML platform components (e.g. development workspaces training/inference patterns model registry feature storage patterns experiment tracking prompt/version management retrieval-augmented generation (RAG) enablement and reusable templates) for safe and deliberate consumption across the organization.

• Establish and champion DevSecOps practices for platform delivery including GitLab source control build automation and CI/CD pipelines for infrastructure and application deployments.

• Deploy infrastructure as code (IaC) to the cloud using Terraform modules and pipelines; define standards for environments networking identity secrets encryption logging and configuration management.

• Partner with Cybersecurity Risk and other 2nd line of defense teams to implement and evidence required security controls (e.g. IAM least privilege network segmentation encryption vulnerability management audit logging and policy-as-code) across platform services.

• Implement governance patterns for AI/ML and GenAI (e.g. model and prompt lifecycle controls lineage/traceability for data prompts and outputs approvals change management risk assessments and operational readiness) consistent with enterprise data governance and regulatory obligations.

• Provide technical leadership and hands-on engineering to solve complex platform problems (performance reliability scalability cost and security) and guide engineers through designs reviews and delivery.

• Build platform reliability through automation and observability (monitoring logging tracing SLOs) and partner with production support teams to increase resiliency reduce toil and improve time to recover.

• Enable self-service platform consumption via standardized APIs reusable pipelines templates and documentation; in an Agile environment may serve as an Agile/DevSecOps champion to accelerate delivery while maintaining compliance.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Undergraduate degree in either computer science analytics data engineering finance or equivalent degree.
2. At least 3 years of experience driving enterprise data strategy data execution data engineering or software delivery
3. Expert problem solving skills and being able to define detailed strategies
4. Experience in financial services or payments industry
5. Experience in meeting regulatory obligations and operating in a highly regulatory environment on the cloud
6. Experience in building a high performing team

Preferred Qualifications:

• Masters degree and/or 8 years of progressive experience delivering complex cloud platforms preferably supporting AI/ML or analytics workloads at enterprise scale.

• Experience building AI/ML platforms and/or MLOps capabilities (e.g. training/inference automation model packaging and deployment model registry experiment tracking and operational monitoring).

• Experience with container platforms and orchestration (e.g. Kubernetes/EKS) API enablement and modern ML tooling (e.g. Python ML ecosystem) to operationalize models and GenAI services.

• Deep expertise in AWS (compute networking security/IAM logging/monitoring and managed services) and moderate experience with Azure services and deployment patterns.

• Hands-on DevOps/DevSecOps experience building CI/CD pipelines (GitLab) including automated testing security scanning artifact management and controlled deployments across environments.

• Strong infrastructure-as-code experience deploying cloud components using Terraform; ability to build reusable modules and enforce standards/guardrails.

• Relevant cloud and security certifications (preferred) such as AWS Solutions Architect/DevOps Engineer AWS Security Specialty Azure Administrator/Architect and/or Terraform certification; strong mentoring/coaching skills for engineers distributed across onshore and offshore teams.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits though eligibility for specific benefits may be determined by the division of Truist offering the offers medical dental vision life insurance disability accidental death and dismemberment tax-preferred savings accounts and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment along with 10 sick days (also prorated) and paid holidays. For more details on Truists generous benefit plans please visit our Benefits site. Depending on the position and division this job may also be eligible for Truists defined benefit pension plan restricted stock units and/or a deferred compensation plan. As you advance through the hiring process you will also learn more about the specific benefits available for any non-temporary position for which you apply based on full-time or part-time status position and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race gender color religion citizenship or national origin age sexual orientation gender identity disability veteran status or other classification protected by law. Truist is a Drug Free Workplace.

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