Principal Software Engineer

• Put security first: Build and ship solutions that meet enterprise security standards (threat modeling, secure coding, privacy, and compliance) from design through production
• Translate business needs into technical solutions: Partner with stakeholders to define problem statements, success metrics, and architectural approaches that deliver measurable outcomes
• Design and lead architecture: Own end-to-end system design for cloud and AI workloads, making sound tradeoffs across reliability, performance, cost, and maintainability
• Deliver quickly without sacrificing quality: Use modern engineering practices (CI/CD, automated testing, observability, and progressive delivery) to iterate fast and reduce operational risk
• Drive customer success and adoption: Work directly with customer engineering teams to deliver production-ready solutions, unblock delivery, and ensure outcomes are adopted at scale
• Build reusable, scalable assets: Create solution accelerators, reference architectures, and code that can be reused across customers and scenarios to maximize impact
• Operate effectively in ambiguity: Continuously learn and adapt as technologies and customer priorities evolve
• bring clarity, structure, and momentum to complex engagements
• Lead and mentor across disciplines: Provide technical direction, coach engineers, and collaborate with product, data, and security partners to deliver as one team
• Lead complex delivery end-to-end: Coordinate multiple workstreams, manage dependencies, and raise the bar on reliability and operational excellence for services running in production
• Model inclusive, customer-obsessed leadership: Create an environment of trust, accountability, and continuous improvement while representing the company professionally with external stakeholders
• Embodies our culture and values

• Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Experience building or integrating AI/ML or LLM-based solutions, prompt engineering, RAG, fine-tuning
• Familiarity with deploying and operating AI systems in production environments
• Understanding of model evaluation, data quality, and performance monitoring
• Experience using cloud AI platforms (Azure ML, OpenAI, or similar)
• OR equivalent experience.

• Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience
• Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end
• Comfortable with travel up to 25% (role dependent)

Health, wellness, and financial future benefits