Lead AI/ML Engineer – Enterprise Finance

Arkhya Tech Inc.; Minneapolis (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

Arkhya Tech Inc. seeks a Lead AI/ML Engineer to lead the design, development, and deployment of enterprise-grade Generative AI, LLM, RAG, and Agentic AI solutions in an on-site Minneapolis environment.

The role combines AI/ML engineering with production software skills, focusing on FP&A, accounting, treasury, or tax-related finance functions. Collaboration with security, data, and architecture teams is essential.

Qualifications

• Strong hands-on experience design and deploying enterprise-scale AI/ML solutions.
• Experience with Generative AI and LLM-based applications in production.
• Proficiency in RAG architectures and grounding techniques.
• Experience building AI agents / Agentic AI solutions.
• Proficiency in prompt engineering, orchestration, and grounding.
• Experience integrating LLMs with APIs, enterprise applications, and data sources.
• Familiarity with model/LLM evaluation, guardrails, and hallucination mitigation.
• Knowledge of cloud-native architectures, data platforms, and scalable distributed apps.
• Understanding of Responsible AI, security, privacy, compliance, and governance.
• Excellent communication with technical and business stakeholders.
• Bachelor's degree in related field or equivalent experience.

Responsibilities

• Design and develop scalable enterprise AI/ML and Generative AI solutions.
• Build production-grade LLM applications, RAG pipelines, AI agents, and classification models.
• Design prompt engineering, orchestration, grounding, tool-calling, guardrails, and fallbacks.
• Develop agentic AI workflows with multi-step reasoning and tool integrations.
• Establish AI evaluation frameworks, datasets, and benchmarking.
• Optimize AI systems for accuracy, latency, and cost while monitoring quality.
• Integrate AI apps with enterprise APIs, data platforms, and vector stores.
• Perform failure-mode analyses and improve production AI systems.
• Implement AI observability and governance practices.
• Collaborate with Data Engineering, Architecture, Security, QE, and stakeholders.

Skills

AI/ML Engineering

Generative AI

LLM-based applications

RAG architectures

Agentic AI

Prompt engineering

APIs integration

Cloud-native architectures

Security and governance

Communication with stakeholders

Bachelor's degree in CS/Engineering

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related discipline

Tools

Vector databases

Embeddings

Knowledge retrieval

AI observability tools

Job description

Role: Lead AI/ML Engineer - Enterprise Finance

Location : Minneapolis MN -Onsite

Role Overview

We are looking for a Lead AI/ML Engineer with strong hands-on experience building and deploying enterprise-grade Generative AI, LLM, RAG, and Agentic AI solutions.

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.

Key Responsibilities

• 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.

Required Skills

• 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.