Deloitte

Principal GenAI Engineer at Deloitte, focusing on hands-on engineering to deliver GenAI solutions for customers and business value. This role involves technical leadership, code integrity, customer-centric development, and cross-functional collaboration, emphasizing modern software engineering practices including AI/ML/GenAI and DevSecOps for automated daily deployments.

Senior GenAI Engineer role at Deloitte focused on hands-on engineering to deliver GenAI solutions for customers and business investments. Emphasizes technical leadership, software craftsmanship, customer-centric development, and collaboration within cross-functional teams using Agile and DevSecOps practices.

AI Engineering Manager/Solutions Architect role at Deloitte's SFL Scientific, focused on designing, developing, and deploying AI applications for clients across various sectors. The role involves leading client engagements, defining data strategy, architecting scalable AI platforms and cloud solutions, and adopting best engineering practices. It requires expertise in modern data architecture, data science engineering, and supporting AI/GenAI use cases, with a platform-agnostic approach.

Architect and implement GenAI solutions for clients across various industries, focusing on technical design, development, and deployment. This role involves defining AI strategy, architecting AI/GenAI systems, integrating AI outputs into workflows, and overseeing production deployment with optimization and monitoring. The role also involves staying updated on trends and mentoring junior members.

Manager role at Deloitte's SFL Scientific practice, focused on leading teams to design, develop, and deploy novel AI/GenAI solutions for clients across various industries. Responsibilities include technical direction, project strategy, client engagement, model development, validation, and deployment, with a focus on delivering measurable business outcomes.

Manager for a team developing AI/GenAI solutions in healthcare and life sciences, focusing on technical direction, strategy, and client engagement. Requires expertise in computer vision, NLP, time-series analysis, and graph neural networks.