GenAI Solutions Architect/Engineer - SFL Scientific

About the role

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions.

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-premises
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development

Qualifications

• 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, or 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