Enterprise AI/ML Architect - Finance & LLM Solutions

Robotics Technologies LLC; Olympia (WA); In loco; USD 81.000 - 115.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC in Olympia, WA is seeking a Lead AI/ML Engineer to architect, build, and operationalize AI capabilities that drive decision-making and innovation within Finance.

You will lead development of AI-powered solutions including LLM workflows, RAG, intelligent agents, and classification models, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams.

Competenze

• Bachelor's degree in CS/Engineering/Data Science or equivalent.
• Hands-on experience building and deploying generative AI in production.
• Experience with prompt engineering, RAG, AI agents, and governance.

Mansioni

• 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 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.

Conoscenze

Software engineering

ML engineering

Prompt engineering

LLM deployment

RAG architectures

Governance

Formazione

Bachelor's degree in CS/Engineering/Data Science

Strumenti

Cloud platforms

APIs

Descrizione del lavoro

Robotics Technologies LLC in Olympia, WA is seeking a Lead AI/ML Engineer to architect, build, and operationalize AI capabilities that drive decision-making and innovation within Finance.

You will lead development of AI-powered solutions including LLM workflows, RAG, intelligent agents, and classification models, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams.