M9 Solutions is seeking an AI/ML Sr. Developer to work remotely in support of a government contract for a client located in Washington, DC. An active Public Trust clearance is required.

Responsibilities

• Designs and deploys scalable AI/ML models in support of the client mission.
• Develops predictive analytics, automation frameworks, and intelligent decision-support systems.
• Integrates AI solutions into secure enterprise and tactical environments.
• Ensures compliance with federal cybersecurity and data governance standards.
• Provides oversight of data engineering pipelines and model lifecycle management (MLOps).
• Develops and maintains model validation, explainability, and bias mitigation practices.
• Advises program leadership and stakeholders on emerging AI technologies and mission applications.
• Supports transition of experimental or prototype AI capabilities into operational production systems.
• Integrates security, ethical, and data governance requirements directly into AI development workflows, ensuring alignment with federal Risk Management Framework expectations.
• Drives AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation.
• Coordinates with ISSOs, business owners, and other stakeholders to implement secure AI solutions and participates in audits, interviews, and governance reviews.

Required Skills and Qualifications

• Public Trust security clearance.
• Bachelor's degree or higher.
• 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands-on experience with modern AI technologies.
• 5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments, including experience with modern AI technologies and MLOps practices.
• Proficiency in programming languages such as Python, R, and/or Java.
• Deep understanding of machine learning frameworks such as TensorFlow or PyTorch, preferably implemented within AWS SageMaker.
• Experience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements.
• Experience developing AI products or functional prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies.
• Experience working with cloud computing platforms (AWS preferred; Azure or Google Cloud acceptable) and using AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Experience implementing AI solutions in secure, restricted, or regulated environments.
• Hands-on experience with agile development and tools, including JIRA.
• Strong communication skills with the ability to present ideas to various levels and skillsets, both internally and externally.
• Provides technical assistance and end-user troubleshooting for bug fixes, enhancements, and how-to assistance.
• Ability to multitask between multiple projects and both business and technical stakeholders.

Preferred Skills and Qualifications

• Experience supporting enterprise-scale Salesforce solutions; Agentforce implementation experience is highly preferred.
• Familiarity with AI governance practices and modernization initiatives, including efforts to align AI capabilities with enterprise transformation goals.
• Experience working with or supporting U.S. federal agencies.
• Experience deploying AI/ML solutions in cloud environments such as AWS GovCloud or Azure Government.
• Knowledge of Zero Trust architectures and the integration of cybersecurity principles into AI/ML systems.

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