AI Engineer

Overview

Remote
USD 60.00 - 63.00 per hour
Contract - W2

Skills

FOCUS
SAP BASIS
Life Insurance
Collaboration
Prototyping
Predictive Analytics
Natural Language
Interfaces
Test Plans
Regression Analysis
Performance Testing
Performance Metrics
Workflow
Testing
Management
Version Control
System Integration
Python
scikit-learn
TensorFlow
PyTorch
Amazon Web Services
Amazon SageMaker
Microservices
Automated Testing
Selenium
JUnit
Java
FedRAMP
Cloud Computing
DevOps
Continuous Integration
Continuous Delivery
Artificial Intelligence
Machine Learning (ML)
Orchestration
Docker
Kubernetes
Government Contracting
Auditing
Communication
Conflict Resolution
Problem Solving
Documentation
Taxes
Insurance
Law
Management Consulting
Finance
Regulatory Compliance

Job Details

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.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact


About Eliassen Group:

Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

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About Eliassen Group