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# AI/ML Architect, Enterprise Finance

- **Company:** Robotics Technologies LLC
- **Location:** Olympia, WA, United States
- **Salary:** $147,680
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Information Engineering, Machine Learning, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Build Management, Information Technology, Data Management, Virtual Agents, Intelligent Document Processing
- **Published:** November 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=33409ed7816832fb

## About the Role

* 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.

## Description

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, * 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.