Associate AI & Data Consultat

Truist•Atlanta, GA

2d•Onsite

About The Position

The Associate AI Engineer supports the design, development, and deployment of AI‑powered solutions that improve business processes, teammate productivity, and customer experiences. This role is ideal for early‑career engineers who are eager to build hands‑on experience with machine learning, generative AI, and modern cloud‑based AI platforms while working under the guidance of senior engineers and technical leads. The Associate AI Engineer will contribute to AI application development, model integration, data preparation, testing, and deployment, while learning enterprise standards for security, governance, and responsible AI.

Requirements

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.
Basic understanding of AI models, data architectures, and analytics methodologies.

Nice To Haves

Strong foundation in Python programming.
Basic understanding of: Machine learning concepts (supervised/unsupervised learning, evaluation metrics)
Basic understanding of: Generative AI and large language models (LLMs) and frameworks (Langchain/AWS Strands/Microsoft Agent Framework)
Familiarity with REST APIs and basic web services.
Experience with Git and collaborative software development workflows.
Strong problem‑solving skills and willingness to learn in a fast‑evolving AI landscape.
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)
Familiarity with: Prompt engineering or retrieval‑augmented generation (RAG)
Familiarity with: FastAPI, Streamlit, or similar frameworks
Basic understanding of cloud services (Azure, AWS, or GCP).
Experience working in regulated or enterprise environments is a plus.
Industry recognized AI Engineer Certifications (Azure, AWS, or GCP)

Responsibilities

Assist in building and enhancing 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.