GenAI Solutions Architect/Engineer - SFL Scientific

About the role

Recruiting for this role ends on 8/31/2026.

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

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

Schedule

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