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.

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, 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 in production AI systems.

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.