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# AI/ML engineer

- **Company:** Quantum Technologies
- **Location:** United States (Remote available)
- **Salary:** $137,280
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bioinformatics, Cloud Engineering, Code Review, Extract Transform Load (ETL), Distributed Systems, Fraud Prevention and Detection, Graph Database, Monitoring of Systems, Machine Learning, Natural Language Processing, Azure Machine Learning, Search Technologies, Google Cloud, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Data Layers, Event Driven Architecture, Kubernetes, Machine Learning Operations, Graph RAG, Data Pipelines
- **Published:** November 14, 2026
- **Apply:** https://www.dice.com/job-detail/ed798702-2acd-4f84-85f5-f22066d589c3

## About the Role

* 12+ years of experience in Enterprise Architecture, Cloud Architecture, and Distributed Systems.
 * Strong hands-on experience with AWS, Azure, or Google Cloud Platform.
 * Expertise in Generative AI, LLMs, RAG, GraphRAG, and Agentic AI.
 * Experience with Machine Learning, NLP, and intelligent automation.
 * Knowledge of vector databases, knowledge graphs, and semantic search.
 * Experience with Kubernetes, APIs, ETL/ELT, and event-driven architecture.
 * Strong experience with MLOps/LLMOps and production AI implementations.
 * Financial services, banking, or FinTech domain experience preferred.
 * Excellent communication and stakeholder management skills.
Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

## Description

* Define enterprise AI/ML strategy and technical architecture.
 * Design and implement Generative AI, LLM, RAG, GraphRAG, and multi-agent solutions.
 * Build scalable AI/ML platforms and cloud-based architectures.
 * Design data pipelines, semantic layers, knowledge graphs, and vector databases.
 * Guide engineering teams with technical design, code reviews, and implementation.
 * Implement AI-driven automation, financial forecasting, fraud detection, and anomaly detection solutions.
 * Establish MLOps/LLMOps practices, model monitoring, and AI governance.
 * Ensure security, scalability, compliance, and data privacy.