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 a Tier 2 Moderate Risk Public Trust (from any federal agency) or 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 7 years of experience designing and implementing AI/ML models. 

• Experience with anomaly detection, predictive analytics, behavioral analytics, or pattern recognition. 

• Experience supporting AI/ML pilots or prototypes within federal, DoD, or mission-critical environments. 

• Experience building machine learning pipelines and experiment designs. 

 

Technical Knowledge (Required) 

• Proficiency with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. 

• Strong understanding of statistical modeling, anomaly detection, and predictive forecasting. 

• Experience with Python, R, or similar programming languages. 

• Familiarity with data pipelines, feature engineering, and data transformation. 

Technical Knowledge (Preferred) 

• Experience in cloud-based ML platforms (AWS Sagemaker, Azure ML, etc.). 

• Knowledge of cybersecurity datasets and detection logic. 

• Familiarity with LLMs, vector embeddings, or retrieval-augmented AI architectures. 

 

Certifications 

Required: 

• ITIL v4 Foundation 

Preferred: 

• AI/ML professional certifications 

• Cloud practitioner or cloud security certifications 

 

Skills 

• Strong problem-solving and analytical abilities. 

• Ability to communicate complex AI/ML concepts to technical and non-technical audiences. 

• High attention to detail for model validation, accuracy, and performance tuning. 

• Ability to work across multiple teams and integrate AI/ML results into broader program strategies. 

• Strong documentation and communication skills for model explainability. 

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