Principal Solutions Architect

Principal AI Tech ArchitectsPrincipal AI Tech Architects at BCG Platinion are:Collaborative. They are interdisciplinary team players who seek alignment and establish relationships ranging from cross-functional stakeholder groups to existing teams.Systems thinkers. They are well-versed in designing sophisticated and robust AI solutions to common business problems.Technical experts. They are critical thinkers and have extensive Technology & AI expertise that drives novel solutions.Comfortable with ambiguity. They know the path forward isn't always well-defined. They are comfortable and confident working through the unknown.Change agents. They know how to make change happen across an organization. They can align and onboard teams to implement new processes and toolsets. They embrace complex challenges and guide an organization to optimize technology best practices.Agile advocates. They are well-versed in agile methodologies and use their expertise to strategically tackle difficult challenges and implement change.Innovative. They are creative thinkers who apply their deep technology architecture and AI Platform expertise to envision novel design patterns for the next generation of technology solutions.Knowledgeable. They have a sophisticated understanding of Technology Architecture and AI Platforms, acting as a viable resource on teams as both a hands-on practitioner and subject matter expert.Strategic partners. They work closely with senior client stakeholders, including C-level executives, to build hypothesis-driven solutions at the intersection of technology and business. They bridge the gap between IT and business functions, ensuring technology strategies are aligned with organizational goals to solve critical business challenges.We are seeking Principal AI Tech Architects to design, guide, and evolve the architecture of next-generation intelligent agentic systems. This role bridges high-level system design with hands-on AI engineering - ideal for someone who can envision complex AI-enabled ecosystems while still being comfortable prototyping or coding to validate ideas. You'll work across AI, data, product, and engineering teams to define scalable architectures for AI-driven applications, enabling the seamless integration of large language models (LLMs), data pipelines, and enterprise systems.