Software Engineer II – Machine Learning, Agentic AI Solutions Lead for AML Technology

Truist

Software Engineer II delivering Machine Learning solutions for Anti-Money Laundering Technology. Collaborating with teams to implement advanced AI-driven models and ensuring compliance standards.

Posted 6/11/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJenkinsMavenSQL

About the role

Key responsibilities & impact

Deliver technically advanced solutions in support of Truist’s Anti-Money Laundering (AML) Technology initiatives
Partner with application teams, product owners, and internal stakeholders to design, guide, and implement model-driven solutions
Provide subject matter expertise throughout the model lifecycle, from concept through governance, approval, and deployment
Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives
Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI-driven models
Provide expertise in model development, integration, and deployment
Guide and influence best practices for Machine Learning and AI adoption within AML Technology
Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post-deployment monitoring
Support development of required model documentation
Partner with application teams to navigate AI governance processes
Build and support monitoring, performance evaluation, and controls for models and associated applications in production environments
Ensure adherence to security, compliance, and enterprise technology standards across all implemented solutions
Help solve complex technical and operational challenges related to model integration, data pipelines, and AI deployment in enterprise systems
Act as a mentor and resource for teammates

Requirements

What you’ll need

Bachelor’s Degree and four to seven years of experience or equivalent education and software engineering training or experience
In-depth knowledge in information systems and ability to identify, apply, and implement IT best practices
Understanding of key business processes and competitive strategies related to the IT function
Ability to plan and manage projects and solve complex problems by applying best practices
Ability to provide direction and mentor less experienced teammates
Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments
Exposure to Generative AI technologies and frameworks
Working knowledge of financial crimes / AML domain concepts
Experience supporting or contributing to model governance, validation, or regulatory processes
Strong foundation in data structures, algorithms, and software engineering principles
Familiarity with open-source ML frameworks and tools
Experience with cloud platforms such as AWS, Azure, or GCP
Experience with data platforms, SQL, and data modeling
Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven

Benefits

Comp & perks

Medical, dental, vision, life insurance
Disability, accidental death and dismemberment
Tax-preferred savings accounts
401k plan
No less than 10 days of vacation
10 sick days
Paid holidays
Possible eligibility for defined benefit pension plan, restricted stock units, and/or a deferred compensation plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine Learningmodel developmentmodel deploymentdata structuresalgorithmssoftware engineering principlesdata modelingSQLGenerative AIopen-source ML frameworks

Soft Skills

project managementproblem solvingmentoringcollaborationcommunicationinfluencing best practicestechnical advisingsubject matter expertiseguidancesupport