Associate Engineer, AI Solutions

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.

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.
• Design systems to process, cleanse, and classify unstructured text and layout-heavy scanned documents.
• Train, tune, and optimize machine learning, deep learning, and neural network models for classification and prediction tasks.
• Write clean, modular Python code for ML modeling and collaborate on migrating performance-critical pipeline services to Rust.
• Apply statistical feature engineering and advanced data preprocessing to complex, unstructured data formats.

Requirements

• Bachelor’s or advanced degree in Computer Science.
• Strong academic foundation in linear algebra, calculus, and probability/statistics.
• High proficiency in Python (including SciKit-learn and PyTorch).
• Practical experience building, evaluating, and tuning supervised and unsupervised models (e.g., classification, clustering, neural networks, or embeddings).
• 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.

Pay

Annual salary range: $77,000 – $85,000. Maximus compensation is based on various factors including job location, education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.

Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.