Lead discovery with customers and stakeholders: Partner with customer engineering teams and domain experts to understand business goals, constraints, and success measures; translate them into clear technical requirements and solution approaches. Move fast with quality: Use iterative delivery to de-risk technical decisions early, improve reliability through automation, and continuously learn and adapt as customer needs evolve. Drive measurable customer impact: Deliver solutions that meet agreed success metrics, support adoption, and enable customer teams through coaching, knowledge transfer, and clear documentation. Lead through ambiguity: Navigate complex, fast-changing problem spaces (especially in AI) and guide teams toward pragmatic decisions that balance value, feasibility, compliance, and risk. Collaborate across disciplines: Work effectively with product, design, data science, security, and operations partners; create an inclusive environment where diverse perspectives improve outcomes. Technical leadership and mentoring: Set technical direction, unblock teams, and mentor engineers through design reviews and hands-on guidance; influence senior stakeholders by communicating tradeoffs and recommendations clearly. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance monitoring, and use of cloud AI platforms 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) Enjoy travel and are comfortable with travel up to 25%