AI Engineer

• Lead the design, development, and deployment of production-grade agentic AI systems embedded in the investment lifecycle
• Architect, build, and operationalize autonomous AI agents interacting with proprietary financial data, enterprise systems, and investment professionals
• Support AI agents across investment research, quantitative analysis, portfolio management, and trading functions
• Define technical standards, architectural patterns, governance frameworks, and engineering discipline for responsible AI at scale
• Provide technical mentorship and oversight to engineering squads
• Collaborate across Investments, Investments Technology, and TRP Labs
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights
• Establish and enforce best practices in AI development, continuous integration, and code quality
• Oversee agent orchestration, prompt engineering, and real-time data-driven automation projects
• Prioritize and manage technical debt and improve AI platforms and infrastructure
• Identify opportunities to apply AI agents for business value and operational efficiency
• Translate complex business requirements into robust, scalable technology solutions aligned with organizational strategy

Lead AI Software Engineer – Investments Technology

• Design and build multi-agent systems using LLM orchestration frameworks for client-facing AI products
• Implement end-to-end AI orchestration use cases for clients
• Build agentic wrappers and interfaces around data science models, including MMM, forecasting, and incrementality
• Configure Genie spaces for client data exploration and self-service analytics
• Develop reusable agent components, prompt templates, and tool-use libraries
• Evaluate LLM providers based on capability, cost, and latency and recommend optimal options
• Collaborate with the Offshore Director Staff AI Engineer on architecture direction, design patterns, and coding standards
• Write production-grade Python with error handling, observability, CI/CD integration, and deployment automation
• Partner with Data Scientists to understand models and create resilient, accurate agent interfaces
• Contribute to technical documentation, architecture decision records, and operational runbooks
• Report to the VP, AI Agents & Automation
• Collaborate with an offshore engineering team to deliver scalable, reliable AI products

AI Engineer jobs in Maryland

Lead AI Software Engineer – Investments Technology

Director, AI Engineer