AI Developer Engineer

Unissant, Inc. delivers innovative capabilities to agencies that keep the nation healthy and safe, and is seeking an AI Developer/Engineer to support the Federal Emergency Management Agency. The role develops, evaluates, tunes, and operationalizes secure AI/ML capabilities across approved cloud and enterprise platforms, including RAG applications, predictive models, integrations, and MLOps/DevSecOps practices.

Responsibilities:

• Design, develop, and productionize RAG applications, chatbots, document translation and summarization services, predictive models, anomaly-detection capabilities, and routing/optimization solutions
• Evaluate new AI use cases and provide feasibility, architecture, cost, complexity, schedule, and solution-stack estimates
• Select appropriate algorithms; prepare and engineer data; train, validate, tune, document, and monitor models
• Define and maintain model-performance metrics, evaluation processes, monitoring, and improvement approaches
• Integrate AI/ML models with full-stack applications and enterprise workflows through APIs, approved cloud AI services, and secure data pipelines
• Implement MLOps and DevSecOps practices, including git-based workflows, automated testing, CI/CD, infrastructure-as-code, observability, and controlled deployments
• Support AI security boundaries, ATO artifacts, data governance, role-based access controls, and model/application risk-management activities
• Create technical documentation covering architecture, experiments, model performance, operations, and customer use
• Excellent verbal and written communication skills, with the ability to explain AI/ML designs, model performance, technical risks, and solution tradeoffs to technical and nontechnical audiences
• Ability to write clear, concise content and manage sensitive information in a highly confidential manner
• This is a remote position. Travel may be required based on client and business needs
• Mainly a routine office environment
• May be required to lift up to ten (10) pounds
• Flexible in working extended hours as needed

Requirements:

• Five (5) to ten (10) years of experience in AI/ML, data science, software engineering, cloud application development, or related technical disciplines
• Proficiency in Python, R, or JavaScript, with experience using machine-learning and deep-learning frameworks
• Experience with Terraform, CI/CD pipelines, git-based source control, and observability tooling
• Experience analyzing complex datasets and deploying scalable, maintainable AI/ML solutions into production
• Experience with cloud-hosted AI services, secure APIs, data pipelines, and enterprise application integration
• Strong analytical, technical documentation, troubleshooting, and collaboration skills
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field required
• Excellent verbal and written communication skills, with the ability to explain AI/ML designs, model performance, technical risks, and solution tradeoffs to technical and nontechnical audiences
• Ability to write clear, concise content and manage sensitive information in a highly confidential manner
• U.S. Citizenship is required
• Favorably adjudicated FEMA Public Trust suitability is required before the employee's start date
• Must meet DHS/FEMA training and handling requirements for SBU/FOUO and potentially CUI, PII, or other sensitive FEMA data
• Cloud, AI/ML, data-science, DevSecOps, or relevant technical certification preferred