AI Engineer

• Design, develop, and deploy machine learning models and AI-powered applications
• Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
• Build and maintain data pipelines, model training workflows, and inference systems
• Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
• Monitor model performance, conduct testing, and iterate on improvements
• Document technical architectures, methodologies, and best practices
• Stay current with AI/ML research and translate advancements into practical applications

• Architect and lead the development of agentic AI systems that automate finance workflows.
• Design and implement multi-agent systems leveraging LLMs and orchestration patterns.
• Translate cutting-edge research into scalable solutions.
• Establish guardrails and responsible AI practices for safe outputs.
• Lead the design of advanced predictive models for customer behavior forecasting.
• Develop interpretable, production-grade models for retention strategies.
• Design scalable AI/ML systems with emphasis on software engineering best practices.
• Establish MLOps best practices for AI systems deployment and governance.
• Set technical direction for AI/ML initiatives across finance.

Principal Applied AI Engineer, Finance

• Apply deep platform knowledge to resolve inbound incidents from end users — including how-to questions, error messages, bugs, and enhancement requests
• Own ticket lifecycle in ServiceNow — intake, categorization, resolution or escalation, and closure documentation
• Identify patterns in ticket volume and surface recurring issues to the product team for upstream fixes or KB updates
• Escalate issues that require engineering intervention with well-documented technical context to accelerate resolution
• Develop and maintain internal technical documentation covering platform behavior, troubleshooting workflows, and support guidance
• Author public-facing self-service content for end users; partner with the Artey team to ensure documentation is integrated and surfaced through the platform
• Calibrate all documentation for the appropriate audience — translating technical detail into clear, actionable guidance for end users and Tier 1 agents where needed
• Partner with the IT Service Center to ensure Level 1 agents have access to the knowledge base content and troubleshooting guidance needed to resolve basic issues
• Develop and deliver targeted training sessions for business units experiencing confusion or low adoption
• Collect user feedback from support interactions and synthesize it into actionable recommendations for the product team
• Partner with the Build team on automation development, feature testing, QA, and deployment validation
• Contribute to documentation and process design for new capabilities as they are developed

Senior Analyst, AI Engineer

• Design, build, and maintain integrations between the Anthropic Claude platform and enterprise systems
• Develop and manage MCP server configurations
• Build and optimize prompt pipelines, agentic workflows, and automations
• Troubleshoot complex technical issues across the AI stack
• Write clean, well-documented code
• Test and iterate on AI workflows

AI Engineer jobs in Rhode Island

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AI Engineer

Principal Applied AI Engineer, Finance

Senior Analyst, AI Engineer

Manager, AI Engineer