Lead AI-first architecture and enterprise delivery across full-stack, cloud-native systems for applied AI initiatives.

Define architectural vision and technical direction for AI-first enterprise applications and platforms across multiple business domains
Own architecture and delivery of complex cross-team systems spanning full-stack applications, cloud-native services, and applied AI
Create reusable engineering standards, reference architectures, and shared capabilities for AI-first systems, including agentic workflows and RAG
Collaborate with senior leaders to convert ambiguous, high-impact problems into clear technical strategies and influence broader direction
Advance AI-native engineering practices and modern development workflows using tools such as Cursor and Claude Code to improve engineering velocity
Mentor senior engineers, raise engineering standards, and expand technical impact across the organization

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Minimum 8 years of software engineering experience with demonstrated technical leadership on complex, production-scale systems
Deep expertise in full-stack and distributed systems engineering
Proven experience setting architecture and technical direction across multiple services, applications, or engineering teams
Production experience designing and building AI-integrated systems using LLMs, RAG, tool calling, and agentic workflows
Strong understanding of AI evaluation, guardrails, model reliability, security, latency, and production observability
Strong understanding of APIs, enterprise data, system integration, cloud-native architecture, and production operations
Ability to translate ambiguous business problems into clear technical architectures and execution strategies
Track record establishing technical standards and influencing senior engineers and cross-functional stakeholders

Information Technology builds and maintains enterprise systems, infrastructure, and applications that power company business workflows and operations

Proficiency in TypeScript, Node.js/NestJS, React, Python, and SQL
Experience with RAG architectures, vector databases, semantic search, retrieval, and context engineering
Experience with LangChain/LangGraph, MCP, A2A protocols, and production agentic architectures
Experience establishing evaluation frameworks, LLM security controls, prompt injection defenses, and input/output validation
Experience with applied machine learning, data science, predictive modeling, or statistical analysis techniques
Experience with Docker, Kubernetes, event-driven systems, and modern cloud infrastructure
Experience using AI-native development environments such as Cursor, Claude Code, or Windsurf in professional workflows
Experience building reusable enterprise platforms or shared technical capabilities adopted across multiple teams

Sr Staff AI Engineer

Job Description