AI/ML Architect

Overview

DecisionPoint seeks an AI/ML Architect to design artificial intelligence pilots, machine learning pipelines, and advanced analytics models supporting a large federal and DoD-aligned mission environment. This role develops predictive analytics solutions, anomaly detection models for IT and cybersecurity operations, automated content classification capabilities, personalization algorithms, and behavioral analytics models.

The AI/ML Architect collaborates closely with data scientists, dashboard teams, engineering staff, cybersecurity analysts, and PMO leadership to translate mission needs into AI-driven prototypes and production-ready solutions. The role also supports experimentation, evaluation, and integration of AI/ML capabilities aligned with enterprise governance and modernization objectives.

This position is fully remote.

Duties & Responsibilities

The AI/ML Architect will:

• Design AI/ML pilots supporting predictive analytics, anomaly detection, behavioral analytics, and content automation.

• Build prototypes for IT and cybersecurity anomaly detection using operational, log, and behavioral datasets.

• Develop algorithms for personalization, content classification, and relevance scoring.

• Create end-to-end machine learning pipelines including preprocessing, feature engineering, model training, validation, and deployment.

• Work with system owners and cybersecurity teams to identify model inputs, risk indicators, and performance thresholds.

• Collaborate with dashboard developers to operationalize ML insights into mission dashboards.

• Evaluate new AI technologies, frameworks, and tools for mission applicability.

• Support data exploration, hypothesis testing, and experiment design.

• Produce documentation including model descriptions, assumptions, validation reports, and integration specifications.

• Ensure AI/ML models follow governance guidelines for accuracy, explainability, bias mitigation, and security compliance.

• Recommend optimization opportunities based on data-driven insights and trend analysis.

Qualifications

Clearance Requirement

Candidate must possess an active Secret clearance or higher.

Education (Required)

Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field.

Experience (Required)

• Minimum of 12 years IT architecture experience with a minimum of of experience designing AI solutions.