AI-ML Engineer

Cloud Analytics Technologies, LLC; Minneapolis (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Minneapolis seeks a Lead AI/ML Engineer to design, build, and operationalize AI capabilities at enterprise scale, driving decision-making and innovation across Finance.

You will lead LLM apps, RAG, intelligent agents, and governance while collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted solutions. Strong cloud-native, API, and data platform skills are required.

Qualifications

• BS or higher in CS/Engineering/Data Science or related field.
• Significant experience in software, ML, or AI engineering.
• Hands-on with generative AI and LLM-based applications in production.
• Experience with prompt engineering, RAG, AI agents, evaluation, and governance.
• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable systems.

Responsibilities

• Design, build, and operationalize AI capabilities at enterprise scale.
• Lead development of LLM applications, RAG, intelligent agents, and summarization workflows.
• Collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted solutions.

Skills

Leadership

Software engineering

ML engineering

Prompt engineering

Stakeholder communication

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Python

LLMs

RAG

Vector databases

Kubernetes

Cloud platforms

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.

Some of our Business Ventures - Knowledge Analytics

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