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 5 years of experience designing AI solutions.

• 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 
• DOD 8140 Certification: CompTIA Security+, CISSP, CEH, or CySA+ 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. 

Our Equal Employment Opportunity Policy

• EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws.
• Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
• Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.