Principal Engineer, AI Engineering 

Overview

As Principal Engineer, you will act as a senior technical authority for AI engineering, shaping architecture, standards, and delivery patterns for secure, governed agentic AI systems. You will lead enterprise-grade AI initiatives (RAG platforms, agentic workflows, chat experiences) and set scalable patterns across multi-domain programs. You will partner with cybersecurity, governance, and platform teams to align technical direction with business outcomes, mentor senior engineers, and tackle complex AI delivery challenges. This role offers impact through designing reusable patterns, improving observability, and advancing responsible AI in a regulated financial-services environment.

Responsibilities

• Define target-state architecture and reusable design patterns for AI systems
• Guide decisions across model integration, retrieval design, orchestration, and security layers
• Evaluate emerging AI tech and translate into production-ready patterns
• Lead architecture reviews, code reviews, and technical deep dives for high-impact AI initiatives
• Establish best practices for AI applications including API design, testing, deployment automation, and observability
• Improve developer productivity with reusable libraries and templates
• Ensure AI systems have proper controls for security, data protection, and governance
• Partner with cybersecurity, governance, and platform teams to meet enterprise/regulatory requirements
• Mentor engineers and leads, raising engineering quality through governance and coaching
• Resolve complex technical challenges across AI pipelines, infrastructure, and production operations
• Define engineering standards for prompt engineering, skill engineering, model evaluation, guardrails, and responsible AI practices
• Influence cross-team technical decisions and communicate architectural direction to senior stakeholders

Key requirements

• Expert-level hands-on AI development experience in Python, TypeScript, React, APIs, distributed high-performance systems, and application delivery
• Deep experience with agentic workflows, LLMs, RAG, model orchestration, embeddings, vector search, and evaluation techniques
• Experience with OpenAI, Anthropic, Google Vertex AI, GitHub Copilot or related ecosystems
• Proven ability to influence technical strategy across teams without direct authority
• Strong understanding of cybersecurity controls, data privacy, model risk governance, and regulatory compliance in financial services
• In-depth knowledge of current AI trends and leadership in AI solution development

• Strategic thinking and technical leadership
• Mentorship and coaching of engineers
• Strong cross-functional collaboration and communication
• Python, TypeScript, React, APIs
• OpenShift, Kubernetes, CI/CD
• RAG platforms, agentic workflows, LLMs

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