The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company's technology ecosystem - including Microsoft Copilot Studio, Power Platform, and AWS-based ML environments.

This hybrid role bridges AI/ML development, agentic AI orchestration, and MLOps infrastructure, ensuring that models and intelligent agents are secure, scalable, and business-aligned.

The position advances the company's use of AI across all internal and external customer experiences by:

Building and operationalizing AI models and copilots that augment business workflows.
Integrating models into Microsoft Copilot Studio, Power Apps, and Power Automate.
Managing the lifecycle of models deployed through AWS SageMaker, Azure ML, or internal APIs.

Essential Job Duties/Responsibilities:

A. AI / ML & Agentic AI Engineering

Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG) pipelines.
Develop and maintain custom Copilots and intelligent agents within Microsoft Copilot Studio that interact with enterprise data and APIs.
Implement Power Platform integrations (Power Apps, Power Automate, Power Virtual Agents) for business-facing AI workflows.
Collaborate with data scientists to transform prototypes into production-grade, secure, and compliant solutions.
Build domain-specific AI skills and agents tailored to insurance and financial processes.

B. MLOps / Platform Engineering

Develop and automate ML pipelines for training, deployment, and monitoring on AWS SageMaker and Azure ML.
Manage CI/CD for AI models and Copilot plugins using MLflow, Airflow, Docker, and Kubernetes.
Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and usage analytics.
Integrate AI governance frameworks ensuring auditability, explainability, and data privacy compliance.

C. Collaboration and Support

Partner with software engineering and Power Platform teams to embed AI services into core business systems.
Collaborate with IT and Security on Copilot extensions and secure connectors for enterprise data.
Mentor junior AI engineers on cloud AI tools, Copilot integration, and MLOps best practices.

Experience:

Required

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 (Scikit-learn, PyTorch, TensorFlow), and API integration.
Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps development.
Experience deploying AI pipelines in AWS SageMaker or Azure ML.
Familiarity with LLM-based copilots, agent orchestration, and prompt engineering.

Preferred

Experience connecting Copilot agents to proprietary datasets via secure connectors or APIs.
Knowledge of vector databases (Pinecone, FAISS) and RAG architectures.
Familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs.
Background in financial or insurance domain AI use cases.

Education:

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

Certifications (Preferred):

Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Power Platform Solution Architect / Developer Associate
AWS Certified Machine Learning - Specialty
Microsoft Copilot Studio or AI Builder training credentials

Physical Requirements:

Representative of those that must be met by an employee to successfully perform the essential function of the job. Must be able to operate a PC, other relevant office tools/equipment, sit for extended periods, and/or occasionally stand for extended periods, lead training classes and travel. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Compensation:

Compensation offered for this role is 120,000.00-199,200.00 annually and is based on experience and qualifications.

Answer Financial Inc.

Latest Jobs

AI Engineer-Remote Opportunity