PreSales Collective · 1 day ago
AI Solutions Engineer
PreSales Collective is a company focused on revolutionizing risk and compliance management through innovative technology and SaaS solutions. The AI Solutions Engineer will design, build, and optimize data solutions for government clients, utilizing AI/ML skills to enhance predictive analytics and support mission-critical projects.
Communities
Responsibilities
Design, implement, and maintain scalable data pipelines for ingesting, cleansing, and transforming supply chain and risk-related datasets
Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification within SCRM workflows
Integrate AI-driven analytics into Exiger’s SaaS platform through APIs, data services, and system interfaces
Partner with program directors, data scientists, and software engineers to operationalize models into production systems
Cleanse and enrich customer provided data
Develop and maintain dashboards, data visualizations, and reporting solutions to enable decision-making by senior government stakeholders
Ensure quality, integrity, and security of data across all program implementations
Support delivery of transformation projects by modernizing customer data environments and enabling advanced risk analytics
Contribute to agile delivery cycles, from design and testing through deployment
Periodically provide updates on data pipelines, AI performance metrics, and customer value realization
Qualification
Required
Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field
5+ years of experience in data engineering, data integration, or applied AI/ML development
Proficiency in SQL with strong database design and query optimization skills
Experience with cloud-based platforms such as AWS, Snowflake, or Redshift
Strong programming experience in Python; additional experience with Java, Scala, or similar a plus
Demonstrated knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and ability to operationalize models
Proven ability to develop and maintain data visualizations and dashboards using BI tools (Sisense, Tableau, PowerBI)
Familiarity with data architecture, system integration, and modern data structures
Excellent communication and collaboration skills with technical and non-technical stakeholders
Ability to obtain and retain a US Government security clearance
Preferred
Experience supporting Department of Defense acquisition, sustainment, or logistics programs
Knowledge of supply chain risk management concepts and defense-sector data
Familiarity with API development and software system integration in mission-critical environments
Ability to bridge technical execution with business and mission outcomes
Bias towards action to meet customer needs and company strategic objectives
Strong collaboration skills with distributed teams, including data scientists, software engineers, and program managers
Innovative mindset with a passion for applying AI/ML to complex real-world challenges
Comfortable operating in fast-paced, high-stakes environments with evolving priorities
Demonstrated commitment to innovation, continuous improvement, and operational excellence