Qualifications Required: + Bachelor's degree in a relevant STEM field (Computer Science, Engineering, Physics, etc.) + 4+ years of experience in designing and implementing cloud-native AI architectures (AWS, Azure of GCP) + 4+ years of specific technology domain areas (i.e., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience + 4+ years of programming in Python with modern packages (i.e., Docker, Kubernetes, Airflow, Kafka, etc.) + 3+ years of design, implementation or consulting in deploying AI applications with unit and integration testing in enterprise systems and supporting data pipelines, leveraging event-driven or microservices-based architectures + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + Master's degree in Computer Science, Engineering or Physics, etc. or related STEM field + AWS/Azure Certifications (AWS/Azure Certified: Sys Ops Administrator, Dev Ops Engineer, Solutions Architect) + 3+ years of experience deploying AI solutions in regulated or mission-critical industries (i.e., healthcare, life sciences, finance) + 2+ years of experience applying enterprise AI governance, bias mitigation and performance optimization techniques (scaling, configuration, management) in production AI systems The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Key responsibilities: + Work with clients to design, architect, and implement AI-enabled solutions from inception to production deployment + Define client GenAI/AI strategy and technical architecture + Stay ahead of industry trends, evaluate new tools/features, pilot innovative solutions, and shape roadmaps for client-facing GenAI tools + Lead technical strategy and blueprinting of AI/GenAI systems, aligning solution architecture with business objectives, security, and scalability requirements + Collaborate with data scientists, engineers and domain experts to integrate AI outputs into software and product workflows + Oversee deployment of AI applications into production environments, ensuring performance optimization, model monitoring, version control and continuous improvement + Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem + Mentor, motivate, and coach junior members on technical best practices and inspire professional development A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to lead projects or workstreams + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The Team Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.