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AI/ML ARCHITECT - ENTERPRISE FINANCE

Xpertiz INC
Minneapolis, MN, United States
6 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Engineering Information Engineering Monitoring of Systems Information Retrieval Machine Learning Search Technologies Software Deployment Software Engineering Retrieval-Augmented Generation Large Language Models
+8 more
Prompt Engineering IT Architecture Model Validation Generative AI Agentic-AI Build Management Data Management Machine Learning Operations

Job description

We are looking for an experienced AI/ML Architect / Lead AI/ML Engineer to architect, build, and operationalize AI-powered solutions that drive innovation, productivity, and smarter decision-making across enterprise Finance organizations., * Design scalable AI solution architectures aligned with business objectives and governance requirements.

  • Build and deploy Generative AI, LLM, RAG, and Agentic AI applications.
  • Develop prompt engineering strategies, orchestration workflows, tool-calling patterns, guardrails, and fallback mechanisms.
  • Build intelligent agents, classification models, summarization workflows, and decision-support solutions.
  • Establish model evaluation frameworks, benchmarks, and performance metrics.
  • Monitor and optimize AI output quality, accuracy, latency, cost, and hallucination risks.
  • Implement AI observability, monitoring, and continuous improvement practices.
  • Collaborate with Finance, Data Engineering, Security, Compliance, and Responsible AI teams.
  • Drive AI solutions from architecture and development through production deployment and support.

Requirements

  • Strong experience in AI/ML Engineering, Software Engineering, or AI Architecture.
  • Hands-on experience building and deploying production-grade Generative AI and LLM applications.
  • Strong expertise in:
  • Large Language Models (LLMs)
  • Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI / AI Agents
  • Prompt Engineering
  • Model Evaluation & Optimization
  • Vector Databases & Semantic Search
  • Strong understanding of cloud-native architectures, APIs, data platforms, and scalable systems.
  • Knowledge of Responsible AI, security, privacy, and compliance practices., * Experience in Enterprise Finance, FP&A, Accounting, Treasury, Tax, Banking, or Financial Services.
  • 1-2+ years of hands-on Agentic AI development and deployment.
  • Experience with AI observability, model monitoring, and knowledge retrieval systems.
  • Experience leading enterprise AI products from design through production support.

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