Principal Machine Learning Engineer

Job Summary

The IT Automation AI Engineering team builds modern, AI-first enterprise applications and automation platforms that support multiple business functions across the company. We focus on scalable architecture, strong engineering fundamentals, and practical application of AI to drive measurable business impact. In this role, you will establish technical direction, architectural standards, and reusable AI-first engineering patterns that extend across the broader engineering organization.

Your Career

The IT Engineering team builds AI-first enterprise systems that power critical business workflows across the company. This role will focus on advancing high-impact initiatives while shaping the architecture and engineering practices used across a broader portfolio of applications.

We operate at the intersection of full-stack application development, cloud-native services, enterprise data, and applied AI. The role requires deep software engineering expertise combined with the ability to design scalable systems, apply emerging AI capabilities responsibly, and translate complex business problems into durable technical solutions.

At the Sr Staff level, you will set technical direction across multiple complex initiatives, define architectural standards and reusable AI-first engineering patterns, and influence how teams across the organization design and build enterprise software. You will tackle the most ambiguous technical problems, remain hands-on where needed, and multiply your impact through architecture, technical leadership, and mentorship of senior engineers.

Your Impact

• Set architectural vision and technical direction for AI-first enterprise applications and platforms spanning multiple teams and business domains
• Lead the architecture and delivery of the most complex cross-team systems across full-stack applications, cloud-native services, enterprise data, and applied AI
• Establish reusable engineering standards, reference architectures, and shared capabilities for AI-first systems, including agentic workflows, RAG and retrieval, LLM evaluation, guardrails and AI security, and tool integration using technologies such as Vertex AI, LangChain/LangGraph, MCP, and A2A protocols
• Partner with senior business and technology leaders to translate ambiguous, high-impact problems into clear technical strategies and influence broader technical direction
• Drive AI-native engineering practices and modern development workflows, including effective use of tools such as Cursor, Claude Code, and similar platforms to improve engineering velocity and quality
• Mentor senior engineers and technical leaders, raise engineering standards, and multiply technical impact across the broader organization

Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 10+ years of software engineering experience with demonstrated technical leadership across complex, production-scale systems
• Deep full-stack and distributed systems engineering experience
• Demonstrated experience setting architecture and technical direction across multiple services, applications, or engineering teams
• Production experience designing and building AI-integrated systems using LLMs, RAG, embeddings, tool/function calling, agentic workflows, or related architectures
• Experience designing production AI systems involving LLM orchestration, agents, retrieval, tool use, evaluation, and human-in-the-loop workflows
• Strong understanding of AI evaluation, guardrails, model and agent reliability, security, latency, cost, and production observability
• Strong understanding of APIs, enterprise data, system integration, cloud-native architecture, security, reliability, and production operations
• Experience deploying and scaling cloud-native applications and services
• Proven ability to translate ambiguous business problems into clear technical architectures and execution strategies
• Demonstrated ability to influence senior engineers, cross-functional stakeholders, and technical leadership
• Track record of establishing technical standards and multiplying impact beyond individual project ownership

Preferred Experience

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

Our Commitment

We re trailblazers that dream big, take risks, and challenge cybersecurity s status quo. It s simple: we can t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.