Associate AI Engineer

Truist • Atlanta, GA

1d

About The Position

Responsible for building, optimizing, and maintaining the data pipelines and aiding in building the data ecosystem for delivering enterprise data for wide consumption including developing data models, corresponding data architecture documents and API's. For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

Requirements

• Bachelor's degree or two years of experience in AI, ML or data science.
• Internship, co‑op, or academic project experience in AI, ML, or data science.
• Exposure to one or more AI/ML libraries (e.g., PyTorch, TensorFlow, scikit‑learn).
• Familiarity with: LLM APIs (e.g., Azure OpenAI, OpenAI, AWS Bedrock) Prompt engineering or retrieval‑augmented generation (RAG) FastAPI, Streamlit, or similar frameworks Basic understanding of cloud services (Azure, AWS, or GCP).

Nice To Haves

• Experience working in regulated or enterprise environments is a plus.
• Industry recognized AI Engineer Certifications (Azure, AWS, or GCP)

Responsibilities

• Builds and enhances AI‑driven applications using Python and modern AI/ML frameworks.
• Support development of LLM‑powered applications (e.g., chatbots, copilots, intelligent workflows) using APIs and SDKs.
• Implement prompt engineering, basic agent logic, and tool integrations under senior guidance.
• Develop and maintain APIs or microservices (e.g., FastAPI) that expose AI capabilities.
• Help prepare, clean, and validate datasets used for training, evaluation, or retrieval‑augmented generation (RAG).
• Assist with model evaluation, testing, and performance analysis.
• Support integration of pre‑trained models or managed AI services rather than building models from scratch.
• Work with cloud‑based AI platforms (e.g., Azure, AWS, or equivalent) to deploy and test AI solutions.
• Follow CI/CD practices for AI applications using enterprise source control (e.g., GitLab).
• Learn and adhere to deployment, configuration, and environment‑management standards.
• Follow enterprise AI governance, data privacy, and security guidelines.
• Assist with documentation related to model usage, data sources, and system behavior.
• Apply responsible AI principles, including transparency, fairness, and safe usage patterns.
• Collaborate with product managers, data scientists, designers, and senior engineers.
• Participate in code reviews, design discussions, and team knowledge‑sharing sessions.
• Actively learn new AI tools, frameworks, and best practices through hands-on work and mentorship.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees