AI/ML Architect, Enterprise Finance

Artifintech; Olympia (WA); On-site; USD 81,000 - 115,000; Full time

Job summary

Artifintech seeks a Lead AI/ML Engineer to architect, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation in the Finance organization.

You will lead the development of AI-powered solutions including LLM applications, RAG, intelligent agents, and classification models, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI products.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Significant software/AI engineering experience.
• Hands-on production deployment of generative AI/LLM apps.
• Experience with prompt engineering, RAG, AI agents, evaluation, governance.
• Strong understanding of cloud-native architectures, APIs, data platforms.
• Knowledge of security, privacy, compliance in AI deployments.
• Proven ability to collaborate with technical and business stakeholders.

Responsibilities

• Design AI solution architectures aligned with business objectives and governance.
• Build and deploy LLM workflows, agent-based solutions, RAG apps, model integrations.
• Develop prompt strategies, grounding, tool-calling patterns, guardrails, fallbacks.
• Partner with Data Engineering for trusted data access.
• Establish evaluation frameworks, datasets, and benchmarks.
• Monitor output quality, latency, cost, and hallucination risk.
• Conduct failures analysis and continuous improvements to AI systems.
• Collaborate with QE, Responsible AI, Security, Privacy, Compliance, EA teams.
• Document AI behavior, controls, and monitoring requirements.
• Support production readiness through observability and drift detection.

Skills

LLM Development

Prompt Engineering

RAG Architectures

AI Governance

Cloud-native Apps

Stakeholder Communication

Education

Bachelor's degree in CS/Engineering/Data Science

Job description

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

Location: Olympia, WA

Duration: 9 Months+ Extension

Bill Rate: $71/hour(C2C) Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Lead AI/ML Engineer to Architect, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Finance organization.

In this role, you will lead the development of AI-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 Responsible AI teams to deliver trusted, scalable, and governed AI solutions. The role aligns with enterprise AI/ML engineering practices and AI productization standards

Key Responsibilities:

• Design AI solution architectures aligned with business objectives, risk tolerance, and governance requirements.


• Build and deploy LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, model integrations, classification models, and decision-support capabilities.


• Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality and reliability.


• Partner with Data Engineering teams to ensure access to trusted, governed, and high-quality data sources.


• Establish evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks.


• Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk.


• Conduct failure-mode analysis and implement continuous improvements to AI systems.


• Collaborate with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams.


• Document AI solution behavior, limitations, controls, and operational monitoring requirements.


• Support production readiness through observability, monitoring, model evaluation, and drift detection practices.

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, or AI engineering.


• Hands-on experience building and deploying generative AI and LLM-based applications in production environments.


• Experience with prompt engineering, RAG architectures, AI agents, model evaluation, and operational AI governance.


• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable software systems.


• Knowledge of Responsible AI, security, privacy, and compliance practices.


• Proven ability to work effectively with technical and business stakeholders.

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.