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The role involves defining and driving product strategy for Generative AI solutions, overseeing product lifecycle, conducting experiments, and managing stakeholder relationships within an enterprise context.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

Lead AI architecture and technical strategy across the full lifecycle: design, build, and operate LLM-powered systems and scalable ML platforms. Implement event-driven, distributed systems, integrate AI with enterprise backends, ensure reliability/security/monitoring, and mentor engineers while shaping organizational AI standards and roadmaps.

The Principal Architect will lead the design and delivery of complex multi-domain systems, focusing on cloud, data, and AI. Responsibilities include defining technical strategy, mentoring engineers, and ensuring compliance and performance of architectures.

The Principal Data Scientist will design scalable approaches for decision-making, apply diverse data science techniques, build data queries, analyze trends, and implement machine learning models. Collaboration with stakeholders and mentoring junior data scientists are key aspects of the role.

The Staff Full Stack Engineer will lead complex platform integrations, define technical strategies, build scalable systems, mentor junior engineers, and communicate architectural decisions effectively.

The Staff Full Stack Engineer will design and deliver complex enterprise integration platforms, focusing on full-stack applications and AWS data pipelines while mentoring junior engineers.

Responsible for client P&L, building C-suite relationships, winning high-value deals, and ensuring client success while mentoring others.

As a Staff AI Engineer, you will develop backend services, integrate APIs, and optimize existing systems within a complex AI platform environment, collaborating with cross-functional teams and ensuring high reliability and performance.