Principal Architect - Data AI

Architects are technical leaders with a strong understanding of both application and AI technologies, and the ability to apply them to drive business outcomes. Architects have a passion for the customer, demonstrated through professionalism and striving for excellence in all aspects of the customer experience. Lead client engagements from definition through delivery to ensure technical and AI transformation success for our customers. Collaborate with enterprise customers to scope and define requirements, architect and design solutions, and deliver transformational, customized industry solutions and services, including AI-powered applications. Ensure all solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment. Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and transformation to our customers' product roadmap. Be a Voice of Customer to share insights and best practices, connect with Engineering teams to remove key blockers and drive product improvements. Proactively identify opportunities for integrating modern architecture patterns and emerging technical solutions—including AI, machine learning, and generative AI—into current designs. Evaluate, identify, mitigate and eliminate risk, provide guidance, and propose immediate solutions. Communicate effectively with all stakeholders, including senior customer executives, Enterprise Architects, Developers, Data Scientists, and IT Management. Lead deep technical architecture discussions and development of POCs, including AI solution prototypes. Guide customers to production deployment and operationalization of both application and AI solutions. Apply technical knowledge and expertise to architect and design solutions that meet business and IT needs, create solution roadmaps, drive POCs and MVPs, and ensure long-term technical viability of new deployments, infusing key technologies where appropriate. Collaborate with other Architects and technology stakeholders to develop complex end-to-end Enterprise grade solutions. Create exceptional cross-team collaboration and communication. Ensure delivery of high-quality production deployments that are resilient and successful. Coach and enable your team members to accelerate innovation programs to production, including guidance on architectural design, technical recommendations, blocker escalations, and technical resource orchestration. Designing scalable solutions on cloud platforms with focus on performance and resiliency, utilizing microservices architectures. Design and Implementation approach towards Data governance, logging, and lineage for AI solutions. Experience architecting, designing, and deploying AI solutions using Azure AI or other similar cloud services. Experience with cloud databases such as Azure SQL, Azure Database for PostgreSQL, MySQL, MariaDB, and Azure Cosmos DB. Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain. OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain. Additional or Preferred Qualifications: Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 20+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain. OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain. OR equivalent experience. 6+ years technical sales experience. 6+ years project management experience. Technical or Professional Certification in AI Domain. Inclusive and collaborative - driving teamwork and cross-team alignment. Strong partner relationship management and solution development skills. Conversant knowledge of competing platforms and solutions. Proven track record of building deep relationships with CXOs. Strong executive presence including communication and presentation skills with a high degree of comfort to large and small technical audiences. Problem solving mentality leveraging internal and/or external resources, conflict resolution, and follow through with partners. Orchestration of application and AI development lifecycle. Experience in vertical industries, proven by projects/solutions implemented with substantial business processes covering Financial and Insurance, Manufacturing, Consumer Goods, Healthcare/Life Sciences, Retail, or other business to consumer industry scenarios. Demonstrable architecture, design, implementation, and/or support of complex application and AI architectures. Candidates must also demonstrate ability to adapt to new technologies, learn quickly, and understand relevant cloud and AI trends.