Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

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Language Fluency: English (Required) Work Shift: 1st shift (United States of

America) Please review the following job description: Senior Engineer/Platform

Leader accountable for designing, building, and operating secure, scalable AI/ML

and Generative AI (GenAI) platforms in the cloud. This role develops and

maintains reusable platform capabilities (e.g., model and prompt development

environments, feature/model/prompt management, retrieval and knowledge-grounding

patterns, data access patterns, CI/CD automation, evaluation/testing, and

observability) so teams can deliver business outcomes faster while meeting

Truist technology standards, security requirements, and regulatory obligations.

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

• Master’s 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. The annual base salary for this position is $130000 - $170000. 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

position. Truist 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 Truist’s generous benefit plans, please visit

our Benefits site. Depending on the position and division, this job may also be

eligible for Truist’s 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. EEO is the Law E-Verify IER Right to Work About Truist

Truist is a purpose-driven financial services company, formed by the historic

merger of equals of BB&T and SunTrust. We serve clients in a number of

high-growth markets in the country, offering a wide range of financial services.

At Truist, our purpose is to inspire and build better lives and communities.

That happens through real care to make things better. To meet client needs, to

empower teammates, and to lift up communities. Learn more about Truist on

truist.com.