Associate Engineer, AI Solutions

Maximus; Frankfort (KY); On-site; USD 77,000 - 85,000; Full time

Job summary

Maximus is seeking an Associate AI Engineer to join the IR&D Team in Kentucky. You will build and optimize production pipelines to extract insights from unstructured text and scanned documents, using Python for ML prototyping and Rust for high-performance data processing services.

In this associate-level role, you will contribute to dialog flows, API integrations, and internal tooling, while learning systems programming and expanding your ML portfolio.

Qualifications

• Bachelor’s or advanced degree in Computer Science.
• Strong mathematical foundation in linear algebra, calculus, and statistics.
• Proficient in Python with ML libraries (SciKit-learn, PyTorch).
• Experience building and evaluating ML models (supervised/unsupervised).
• Experience with Git/GitHub, Docker, and AWS or similar clouds.

Responsibilities

• Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
• Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
• Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
• Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
• Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Document AI Pipelines: Design systems to process, cleanse, and classify unstructured text and layout-heavy scanned documents.
• Model Development: Train, tune, and optimize machine learning, deep learning, and neural network models for classification and prediction tasks.
• Hybrid Systems Engineering: Write clean, modular Python code for ML modeling and collaborate on migrating performance-critical pipeline services to Rust.
• Feature Engineering: Apply statistical feature engineering and advanced data preprocessing to complex, unstructured data formats.

Skills

Python

Rust

SciKit-learn

PyTorch

Git/GitHub

Docker

AWS

Education

Bachelor's degree in Computer Science

Tools

GitHub

Containerization

Cloud environments

Job description

We are seeking an Associate AI Engineer to join the Maximus IR&D Team. In this role, you will build and optimize production pipelines to extract insights from unstructured text and scanned document images. This position involves a dynamic mix of Python for machine learning prototyping and Rust for building high-performance data processing services.

As an associate-level role within our research group, we value strong foundational software skills, a proven machine learning project portfolio, and an eagerness to learn new systems programming languages like Rust on the job.

Essential Duties and Responsibilities:

• Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.

• Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.

• Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.

• Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.

• Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.

JOB SPECIFIC DUTIES:

• Document AI Pipelines: Design systems to process, cleanse, and classify unstructured text and layout-heavy scanned documents.

• Model Development: Train, tune, and optimize machine learning, deep learning, and neural network models for classification and prediction tasks.

• Hybrid Systems Engineering: Write clean, modular Python code for ML modeling and collaborate on migrating performance-critical pipeline services to Rust.

• Feature Engineering: Apply statistical feature engineering and advanced data preprocessing to complex, unstructured data formats.

Minimum Requirements

‘- Bachelors Degree or equivalent experience and 0 Years

• Education: Bachelor’s or advanced degree in Computer Science.

• Mathematics: Strong academic foundation in linear algebra, calculus, and probability/statistics.

• Programming & Libraries: High proficiency in Python (including SciKit-learn and PyTorch).

• Machine Learning Foundations: Practical experience building, evaluating, and tuning supervised and unsupervised models (e.g., classification, clustering, neural networks, or embeddings).

• Tools & Infrastructure: Experience with version control (Git/GitHub), containerization (Docker), and cloud environments (AWS or cloud alternatives).

Preferred experience

• Experience or strong interest in systems programming with Rust.

• Familiarity with building synthetic data frameworks or simulating dataset risk metrics.

• Understanding of model interpretability frameworks or feature importance analysis.

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Minimum Salary

$77,000

Maximum Salary

$85,000