M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.
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…