About the role
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. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master'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 OR Bachelor'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 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%
