GenAI Solutions Architect

About Deloitte Strategy & Transactions and SFL Scientific

The Deloitte Strategy & Transactions team guides clients through critical moments and transformational initiatives, offering integrated, end-to-end support in valuation modeling, cost optimization, restructuring, business design, M&A, and sustainability. They help clients navigate challenges, avoid pitfalls, and provide practical solutions before, during, and after major transformational projects or transactions.

SFL Scientific, a Deloitte Business within the Strategy Offering, is a specialized team focused on architecting integrated programs to transform client businesses. We are actively seeking a GenAI Solutions Architect to contribute to the technical design, development, and deployment of innovative AI solutions across diverse industries such as healthcare, life sciences, manufacturing, consumer, and energy. Join SFL Scientific to enhance your technical acumen in a professional services and consulting environment, creating novel solutions that advance your data science & AI career.

Recruiting for this role concludes on February 28, 2026.

Work You'll Do as a GenAI Solutions Architect

As a GenAI Solutions Architect, you will collaborate cross-functionally with data scientists, machine learning engineers, business leaders, and industry experts to develop robust AI infrastructure and deployment services for novel applications. A critical aspect of this role involves demonstrating expertise in traditional data engineering, leveraging cloud, enterprise, and open-source solutions, and implementing modern IT improvements for organizations across various industries. Your key responsibilities will include:

• 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 abreast 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, ensuring solution architecture aligns 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, focusing on 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 cloud or on-premise environments.
• Mentor, motivate, and coach junior members on technical best practices and foster professional development.

The Team

Our Strategy offering develops bold strategies to achieve business and mission goals, driving growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

SFL Scientific, a Deloitte Business, is a data science professional services practice dedicated to strategy, technology, and solving business challenges with Artificial Intelligence. The team has a proven track record serving market-leading organizations in both private and public sectors, successfully delivering high-quality, novel, and complex projects with deep domain and scientific capabilities. We advance both predictive and generative AI technologies, committed to data-driven decision making and building impactful solutions. Comprised of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them identify AI investment opportunities and transform their businesses.

Our consultative approach is platform agnostic, focusing on providing the best technical solutions for each organization's requirements. Our novel use cases include supporting cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, and GenAI-enabled capabilities across every sector.

Qualifications

Required:

• Bachelor's degree in a relevant STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
• 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, Physics, or a related STEM field.
• AWS/Azure Certifications (e.g., 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.

Key Skills/Competency

• Generative AI
• Cloud Architecture
• Python Programming
• Machine Learning Operations (MLOps)
• Data Engineering
• Solution Design
• System Integration
• Client Consulting
• Scalability
• AI Governance