AI-ML Engineer

Quantum Technologies. LLC; Minneapolis (MN); On-site; USD 150,000 - 210,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Lead AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making and productivity across Finance.

You will lead LLM-based applications, RAG, intelligence agents, and classification/workflows, aligned with enterprise AI engineering practices. You will collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI solutions and ensure governance and compliance

Qualifications

• Bachelor's degree or equivalent in a related technical field.
• Hands-on experience in software engineering, ML, or AI engineering.
• Experience deploying generative AI and LLM-based applications in production.
• Knowledge of Responsible AI, security, privacy, and compliance.

Responsibilities

• Lead development of AI-powered solutions for enterprise Finance.
• Design, build, and operationalize AI capabilities at scale.
• Collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI solutions.

Skills

LLM apps

RAG architectures

AI governance

Cloud-native

Prompt engineering

Production ML

Education

Bachelor's degree in CS/Engineering/Data Science

Job description

Are you passionate about applyingAIto solve complex business challenges at enterprise scale? We are seeking a LeadAI/MLEngineer to design, build, and operationalizeAIcapabilities that drive decision-making, productivity, and innovation across the Finance organization.

In this role, you will lead the development ofAI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will work closely with Finance, Data Engineering, Architecture, Security, and ResponsibleAIteams to deliver trusted, scalable, and governedAIsolutions. The role aligns with enterpriseAI/MLengineering practices andAIproductization standards

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; equivalent experience considered.
• Significant experience in software engineering, machine learning, orAIengineering.
• Hands-on experience building and deploying generativeAIand LLM-based applications in production environments.
• Experience with prompt engineering, RAG architectures,AIagents, model evaluation, and operationalAIgovernance.
• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable software systems.
• Knowledge of ResponsibleAI, security, privacy, and compliance practices.
• Proven ability to work effectively with technical and business stakeholders.

Preferred Qualifications:

• Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or other enterprise finance functions.
• 1-2+ years in developing and deploying agenticAIsolutions.
• Familiarity withAIobservability, model monitoring, vector databases, semantic search, and knowledge retrieval systems.
• Experience leading enterpriseAIproducts from design through production support.

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.