GenAI Solutions Architect/Engineer - SFL Scientific

Work You'll Do As a GenAI Solutions Architect, you will work cross-functionally with data scientists, machine learning engineers, business leaders, and industry experts to design, develop, and deploy AI solutions across a variety of industries. 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, 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 premise. Mentor, motivate, and coach junior team members on technical best practices and professional development. Qualifications Required: Bachelor's degree in a relevant STEM field (Computer Science, Engineering, Physics, etc.). 4+ years of experience designing and implementing cloud‑native AI architectures (AWS, Azure, or GCP). 4+ years of experience in technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics. 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% of the time on average, based on the work you do and the clients you serve. Limited immigration sponsorship may be available. Preferred: Master's degree in Computer Science, Engineering, Physics, or related STEM field. AWS/Azure certifications (e.g., AWS/Azure Certified: Systems Operations Administrator, DevOps 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 in production AI systems. Compensation The wage range for this role is $128,000 to $252,500. A discretionary annual incentive program may be available based on individual and organizational performance. #J-18808-Ljbffr PowerToFly