AI/ML Application Developer / Rules Engine Architect (Onsite)

AI/ML Application Developer / Rules Engine Architect (Onsite)

Job Title:

AI/ML Application Developer / Rules Engine Architect

Location:

Columbia, MD (Onsite)

Job Type:

Full-Time

Overview:

We are seeking a visionary

Developer/Architect

with deep expertise in

rules engine architecture

and

AI/ML technologies

to design and build a modern, intelligent application capable of processing thousands of dynamic rules with a self-learning decision-making engine essentially building an application with its own "brain."

Key Responsibilities:

Design and develop a scalable application that applies thousands of complex business rules in real-time using a rules engine.

Architect a flexible and intelligent core powered by machine learning models, capable of adaptive decision-making.

Integrate and optimize rule engines (e.g.,

Drools, OpenL Tablets, Camunda, etc.

) within the application stack.

Build and train AI/ML models to enhance inference accuracy and automate rule evolution and optimization.

Lead the selection and implementation of appropriate architecture patterns (microservices, event-driven, etc.).

Collaborate with cross-functional teams (data science, DevOps, UI/UX) to deliver an end-to-end intelligent solution.

Implement rule versioning, traceability, auditability, and performance tuning.

Design robust APIs and services to support dynamic rule injection, execution, and feedback loops.

Required Skills & Qualifications:

7+ years of experience in application development with a focus on rule-based or AI/ML systems.

Hands-on expertise with

rules engines

such as

Drools

,

OpenL

,

JBoss BRMS

,

Camunda

, or

custom inference engines

.

Proficiency in

Python

,

Java

, or

Scala

, with strong understanding of object-oriented and functional programming paradigms.

Solid experience with

machine learning frameworks

(e.g.,

Scikit-learn

,

TensorFlow

,

PyTorch

).

Deep understanding of

decision automation

,

business logic abstraction

, and

knowledge-based systems

.

Experience in cloud platforms (AWS, Azure, or Google Cloud Platform), CI/CD, and containerized environments (Docker/Kubernetes).

Strong architectural skills with experience designing intelligent, modular, and scalable systems.

Preferred Qualifications:

Master s degree or higher in Computer Science, Artificial Intelligence, or a related field.

Experience building expert systems, decision engines, recommendation systems, or reasoning frameworks.

Knowledge of

semantic reasoning

,

knowledge graphs

, or

ontology-based logic systems

.

Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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Dice Id:

10430584

Position Id:

8676515