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# Lead AI/ML Engineer Enterprise Finance || Minneapolis MN

- **Company:** Arkhya Tech
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Information Engineering, Information Retrieval, Machine Learning, Search Technologies, Software Deployment, Software Engineering, Systems Integration, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Hallucination Detection, Generative AI, Agentic-AI, Information Technology, Low Latency, Data Management, Machine Learning Operations, Drift Detection, Evaluation of Large Language Models, Prompt Orchestration, Api Management
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/30919097-2be7-4959-a3e2-eadbff9c6df8

## About the Role

The ideal candidate will combine strong AI/ML engineering expertise with production software engineering skills and experience taking AI solutions from architecture and development through evaluation, deployment, monitoring, and governance. Experience supporting Finance, FP&A, Accounting, Treasury, or Tax functions is highly preferred., * Strong experience in AI/ML Engineering or Software Engineering.

 * Hands-on production experience with Generative AI and LLM-based applications.
 * Strong experience with RAG architectures and retrieval/grounding techniques.
 * Hands-on experience building AI agents / Agentic AI solutions.
 * Strong knowledge of prompt engineering and LLM orchestration.
 * Experience integrating LLMs with APIs, enterprise applications, and data sources.
 * Experience with model/LLM evaluation frameworks, guardrails, and hallucination mitigation.
 * Strong understanding of cloud-native architectures, APIs, data platforms, and scalable distributed applications.
 * Knowledge of Responsible AI, security, privacy, compliance, and AI governance.
 * Strong communication skills and ability to work with both technical and business stakeholders.
 * Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent relevant experience.

Preferred Skills

 * 1 2+ years of hands-on Agentic AI development/deployment experience.
 * Experience with vector databases, semantic search, embeddings, knowledge retrieval, and AI observability.
 * Experience taking enterprise AI products from architecture/design through production deployment and support.
 * Experience working with Finance, FP&A, Accounting, Treasury, Tax, or related enterprise finance functions.

## Description

* Design and develop scalable enterprise AI/ML and Generative AI solutions.
 * Build production-grade LLM applications, RAG pipelines, AI agents, classification models, summarization workflows, and decision-support systems.
 * Design prompt engineering, prompt orchestration, grounding, tool-calling, guardrails, and fallback mechanisms.
 * Develop and optimize agentic AI workflows, including multi-step reasoning and tool/API integrations.
 * Establish AI evaluation frameworks, test datasets, scoring methodologies, and performance benchmarks.
 * Evaluate and optimize AI systems for accuracy, relevance, hallucination risk, latency, reliability, and cost.
 * Integrate AI applications with enterprise APIs, data platforms, vector databases, and governed data sources.
 * Perform failure-mode analysis and continuously improve production AI systems.
 * Implement AI observability, monitoring, evaluation, and model/drift monitoring practices.
 * Ensure solutions meet enterprise requirements around Responsible AI, security, privacy, compliance, and governance.
 * Collaborate with Data Engineering, Architecture, Security, Quality Engineering, and business stakeholders.