Principal Artificial Intelligence Engineer

***Hybrid, 3 days onsite, 2 days remote***

***We are unable to sponsor as this is a permanent full-time role***

Responsibilities:

• Partner with the Executive Director of AI Engineering to define and execute the AI technical roadmap, translating organizational priorities into concrete architectural decisions
• Lead the company’s agentic AI efforts: architect, build, and operate systems that connect AI agents to internal systems, data pipelines, and business workflows
• Leverage the company’s direct relationships with AWS and Anthropic to evaluate and adopt new model capabilities and tooling as they become available
• Build and ship production AI applications on AWS using Claude and related Anthropic tooling, maintaining high standards for reliability, security, and auditability
• Architect scalable systems that integrate LLMs and AI agents into company’s internal systems, operational workflows, and business processes, owning decisions from design through production deployment
• Define and enforce AI safety standards appropriate for a regulated SIFMU environment, including hallucination detection, output validation, bias assessment, and audit trails that satisfy SEC and CFTC oversight expectations
• Establish responsible AI practices and safety guardrails for LLM applications operating on sensitive financial data

Qualifications:

• Bachelor's or Master's in Computer Science or a related technical field
• 10+ years of software engineering and systems architecture experience, with demonstrated technical leadership
• 5+ years as a senior individual contributor on complex, high-stakes production systems
• Expert-level Python; proficient in SQL
• Deep system design expertise: distributed systems, microservices, event-driven architectures, APIs, and MCP servers
• Hands-on experience with data engineering: pipelines, transformation, and data modeling
• AWS experience; comfort with Docker, Kubernetes, and CI/CD pipelines
• Strong production AI/LLM experience, or demonstrated hands-on passion for the space with the engineering depth to ramp quickly
• Experience designing and operating agentic AI systems in enterprise environments
• Experience with context engineering strategies including RAG, prompt architecture, and retrieval pipeline design
• Familiarity with frontier models including Claude, GPT, and Gemini, and hands-on experimentation with emerging tools
• Hands-on experience with Anthropic's tooling and APIs, including the Claude API, Claude.ai, or the Anthropic Console
• Experience connecting AI agents to enterprise systems and workflows
• Infrastructure as code (Terraform)