AI Engineer-Remote Opportunity

Answer Financial - United States

Hiring: AI Engineer-Remote Opportunity Company: Answer Financial Location: United States Job Posted Time: 2026-09-16 10:21:46 Employment Type: Remote Target Skills & Keywords : AWS, Airflow, Azure, CI/CD, Docker, Kubernetes, LLM, MLOps, MLflow, Machine Learning, Pinecone, PyTorch, Python, RAG, SageMaker, TensorFlow, scikit-learn About the job Experience: •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. •Applied hands-on capability in Microsoft Copilot Studio, Power Automate, and Power Apps development. •Operational familiarity with LLM-based copilots, agent orchestration, and prompt engineering. Required Skills: •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. •Partner cross-functionally 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. •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. Qualifications: •Knowledge of vector databases (Pinecone, FAISS) and RAG architectures. •Operational familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs. •Background in financial or insurance domain AI use cases. •Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field. •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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!