GenAI Solutions Architect/Engineer - SFL Scientific

About the role

SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses.

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, GCP)
• 4+ years of specific technology domain areas (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 4+ years of programming in Python with modern packages (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 (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

Benefits

We offer a comprehensive benefits package that includes:

• Discretionary annual incentive program
• Competitive salary range ($128,000 to $252,500)
• Professional development opportunities
• Inclusive culture and diversity initiatives
• Flexible work arrangements
• Health, wellness, and financial benefits

Pay

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.

Schedule

Regular full-time schedule.