Remote AI Engineer: Copilot Studio & MLOps

Answer Financial; United States; Remote; USD 120,000 - 199,200; Full time

Job summary

Answer Financial is seeking a remote AI Engineer responsible for designing and deploying AI and machine learning solutions. You will work on integrating models across technologies, including Microsoft Copilot and AWS environments. Candidates should have strong AI/ML experience, especially in deploying models within Microsoft or AWS ecosystems, paired with programming skills in Python and familiarity with development frameworks. The role offers a competitive salary of $120,000 to $199,200 annually, based on qualifications.

Qualifications

• 2-5 years combined experience in software engineering, ML, and/or MLOps.
• Proven success deploying AI/ML models in Microsoft or AWS environments.
• Strong proficiency in Python, ML frameworks, and API integration.
• Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps.
• Experience deploying AI pipelines in AWS SageMaker or Azure ML.
• Familiarity with LLM-based copilots, agent orchestration, and prompt engineering.

Responsibilities

• Design, develop, and maintain AI and machine learning solutions.
• Operationalize AI models and copilots to enhance business workflows.
• Integrate models into Microsoft Copilot Studio and Power Platform.
• Manage lifecycle of models deployed through AWS and Azure ML.
• Collaborate with data scientists for production-grade solutions.
• Implement monitoring for AI agents and ensure compliance with governance.

Skills

Python

ML frameworks (Scikit-learn, PyTorch, TensorFlow)

API integration

Microsoft Copilot Studio

Power Automate

Power Apps development

AWS SageMaker

Azure ML

Education

Bachelor's or Master’s degree in Computer Science, Data Science, or a related technical field

Tools

MLflow

Airflow

Docker

Kubernetes

Job description

Answer Financial is seeking a remote AI Engineer responsible for designing and deploying AI and machine learning solutions. You will work on integrating models across technologies, including Microsoft Copilot and AWS environments. Candidates should have strong AI/ML experience, especially in deploying models within Microsoft or AWS ecosystems, paired with programming skills in Python and familiarity with development frameworks. The role offers a competitive salary of $120,000 to $199,200 annually, based on qualifications.