AI Engineer

Title: AI Engineer

Anywhere

Type: Contract
Category: Engineer
Industry: Government
Workplace Type: Remote
Reference ID: JN -082025-103429

Job Description:

We are seeking an AI Engineer to support the deployment and integration of advanced AI features into enterprise and cloud-based environments. This role will focus on operationalizing machine learning models, ensuring secure and scalable implementations, and supporting government-compliant solutions. The ideal candidate has hands-on experience with AWS-native AI services, testing frameworks, and cloud automation practices.

The ideal candidate will have hands-on experience with AWS AI/ML services, test automation, and secure cloud deployments, particularly within FedRAMP-compliant environments. A collaborative mindset and a passion for delivering scalable, high-quality solutions are essential.

Location: Fully Remote

Pay Rate: 60-63hr. W2

This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. 
Responsibilities:

Key Responsibilities

AI Feature Implementation Support

• Deploy AI/ML models into production using AWS services (SageMaker, Bedrock, Lambda, Comprehend).
• Collaborate with data scientists and engineers to scale prototypes into enterprise-ready components.
• Develop AI features such as predictive analytics, anomaly detection, recommendation engines, and natural language interfaces.
• Ensure compliance with performance, security, and FedRAMP requirements.

Testing and Validation

• Create and execute test plans for AI models, including unit, integration, regression, and performance testing.
• Build automated test frameworks to validate accuracy and reliability.
• Monitor AI feature behavior in staging and production, resolving issues proactively.
• Document test results, bug reports, and performance metrics.

Cloud Integration and Automation

• Integrate AI features into enterprise workflows, APIs, and data pipelines using AWS-native tools.
• Implement CI/CD pipelines and Infrastructure-as-Code (IaC) for deployment and testing.
• Manage version control and configuration for AI-integrated components.

Experience Requirements:

Required Qualifications

• 2+ years of experience in AI/ML engineering with hands-on deployment and system integration.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with AWS AI/ML services (SageMaker, Comprehend, Rekognition, Bedrock).
• Familiarity with REST APIs, microservices, and enterprise integrations.
• Experience with test automation tools (PyTest, Selenium, JUnit).
• General experience with Java for backend/integration tasks.
• Understanding of FedRAMP compliance and secure cloud deployment practices.

Preferred Qualifications

• Experience with DevOps practices and CI/CD pipelines for AI/ML applications.
• Familiarity with containerization/orchestration (Docker, Kubernetes, ECS/EKS).
• Knowledge of government contracting environments, compliance, and audit standards.
• Strong communication, problem-solving, and documentation skills.

Education Requirements:

Education

• Bachelor's degree is a nice to have.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.