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Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Habitat For Humanity Of Durham
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead[...]

Job Description

Deliver technically advanced solutions in support of Truist’s Anti‑Money Laundering (AML) Technology initiatives, with a focus on Machine Learning and Generative AI use cases. 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.

Position Type:
Regular. Language Fluency:
English (Required).

Work Shift:

1st shift (United States of America).

ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives, supporting multiple use cases and applications.
  • Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI‑driven models aligned with financial crime detection objectives.
  • Provide expertise in model development, integration, and deployment — including supporting teams in configuring solutions, performing analysis, and enabling scalable implementations.
  • Guide and influence best practices for Machine Learning and AI adoption within AML Technology, helping define standards, approaches, and reusable frameworks.
  • Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post‑deployment monitoring.
  • Support development of required model documentation, including Model Definition Documents (MDD), and ensure alignment with internal standards and regulatory expectations.
  • Partner with application teams to navigate AI governance processes, including model review, validation, risk assessment, and approval workflows required for production deployment.
  • 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, providing guidance on Machine Learning techniques, financial crime use cases, and technical implementation strategies.
QUALIFICATIONS

Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • Minimum of 3 years of experience in information security, systems analysis, or related technical field.
  • Foundational knowledge of data security principles, system architecture, and security controls.
  • Experience or exposure to system monitoring, data analysis, or risk identification activities.
Preferred Qualifications
  • Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments.
  • Exposure to Generative AI technologies and frameworks (e.g., LLMs, prompt engineering, model orchestration).
  • Working knowledge of financial crimes / AML domain concepts (e.g., transaction monitoring, suspicious activity detection, fraud analytics).
  • 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 (e.g., Python, Tensor Flow, PyTorch, Scikit‑learn).
  • Experience with cloud platforms such as AWS, Azure, or GCP, including ML/AI services.
  • Experience with data platforms, SQL, and data modeling.
  • Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven.
Benefits

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401(k) plan. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and full‑time or part‑time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays.

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.

Equal Opportunity Employer

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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Position Requirements
10+ Years work experience
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