Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

Habitat For Humanity Of Durham; Raleigh (NC); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Paid vacation

Job summary

Habitat For Humanity Of Durham is seeking a Senior Engineer/Platform Leader to design and operate cloud-based AI/ML platforms. The role involves leading the engineering of secure and scalable platform components while meeting technology standards and security requirements.

Qualified candidates should have a minimum of 3 years' experience in data strategy and strong cloud platform expertise, ideally with AI/ML applications. Eligible employees enjoy a comprehensive benefits package including medical, dental, and retirement plans.

Qualifications

• Minimum 3 years of experience in data strategy or software delivery.
• Experience in highly regulated cloud environments.
• Experience building high-performing teams.

Responsibilities

• Design and execute the AI/ML platform strategy.
• Implement governance patterns for AI/ML consistent with regulatory obligations.
• Provide technical leadership and solve complex platform problems.

Skills

Expert problem-solving skills

Cloud platform development

DevSecOps experience

Team leadership

Education

Undergraduate degree in computer science or equivalent

Master’s degree (preferred)

Tools

Terraform

AWS

Azure

Job description

Employment Type: Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Job Overview

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 so teams can deliver business outcomes faster while meeting technology standards, security requirements, and regulatory obligations.

Essential Duties and Responsibilities

• 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 for safe and deliberate consumption across the organization.
• Establish and champion DevSecOps practices for platform delivery.
• Deploy infrastructure as code (IaC) to the cloud using Terraform modules and pipelines; define standards for environment, networking, identity, secrets, encryption, logging, and configuration management.
• Partner with Cybersecurity, Risk, and other defense teams to implement required security controls across platform services.
• Implement governance patterns for AI/ML and GenAI consistent with enterprise data governance and regulatory obligations.
• Provide technical leadership and hands‑on engineering to solve complex platform problems and guide engineers.
• Build platform reliability through automation and observability; partner with production support to improve resiliency and reduce toil.
• Enable self‑service platform consumption via standardized APIs, reusable pipelines, templates, and documentation; serve as an Agile/DevSecOps champion.

Qualifications

Required Qualifications:

• Undergraduate degree in computer science, analytics, data engineering, finance, or equivalent.
• At least 3 years of experience driving enterprise data strategy, data execution, data engineering, or software delivery.
• Expert problem‑solving skills and ability to define detailed strategies.
• Experience in financial services or payments industry.
• Experience meeting regulatory obligations and operating in a highly regulated environment on the cloud.
• Experience 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, including training/inference automation, model packaging and deployment, model registry, experiment tracking, and operational monitoring.
• Experience with container platforms, orchestration, API enablement, and modern ML tooling to operationalize models and GenAI services.
• Deep expertise in AWS and moderate experience with Azure services and deployment patterns.
• Hands‑on DevOps/DevSecOps experience building CI/CD pipelines with automated testing, security scanning, artifact management, and controlled deployments across environments.
• Strong infrastructure‑as‑code experience deploying cloud components using Terraform and building reusable modules.
• Relevant cloud and security certifications (preferred), such as AWS Solutions Architect/DevOps Engineer, AWS Security Specialty, Azure Administrator/Architect, or Terraform certification; mentoring/coaching skills for distributed teams.

Benefits

Eligible employees (regular teammates working 20+ hours per week) receive medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401(k) plan. All eligible teammates receive at least 10 days of vacation (prorated), 10 sick days (prorated), and paid holidays. Benefits details are available on the company’s Benefits site.

Equal Opportunity Statement

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.