Principal Artificial Intelligence Engineer

About

Prestigious Financial Institution is currently seeking a Principal Artificial Intelligence Engineer with strong LLM experience Candidate will be a technical leader who will lead through expertise and ensure the technical success of the team's work. The position requires a seasoned engineer with strong software engineering experience, technical leadership skills, and foundational knowledge of AI/LLMs with a keen interest in applying these technologies to financial infrastructure. You will play a key role in executing the AI roadmap while mentoring a team of talented junior engineers in driving organizational transformation. As a team leaning into emerging technology, we also support continuous growth and learning by providing time for experimentation with AI tools and technologies.

Responsibilities

• Partner with the Executive Director, AI Engineering to help define and execute on the AI technical roadmap
• Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure
• Design and build production applications in support of organizational use cases
• Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports)
• Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards
• Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment
• Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment
• Connect AI agents to organizational systems and workflows
• Evaluate emerging technologies and recommend adoption strategies
• Foster continuous learning culture in a rapidly evolving AI landscape

Qualifications

• Bachelor's or Master's in Computer Science or related technical field
• 10+ years software engineering/systems architecture experience with strong technical leadership
• 5+ years as senior technical contributor on complex production systems
• Expert in Python and proficient in SQL
• System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs
• Hands-on experience in data (e.g., data engineering, data pipelines, data transformation)
• Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT)
• Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy
• Experience mentoring and reviewing the work of junior engineers
• Exceptional communication skills explaining complex technical concepts
• Strong interest in AI/LLM space with demonstrated commitment to continuous learning

Preferred Experience

• Production experience with AI applications or LLM-powered systems
• Experience with RAG architectures and context engineering
• Familiarity with diverse LLM provider APIs and experience connecting agents to systems
• Experience tinkering with frontier lab tools and products
• Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD
• Infrastructure as code: Terraform
• Experience in financial market infrastructure or derivatives industry
• Background in regulated environments