As a Senior AI Engineer within Deloitte's SFL Scientific practice, you will design and deploy AI infrastructure, data architectures, and ML and GenAI solutions across cloud and on-prem environments, collaborating across teams from our Raleigh, North Carolina onsite location.
Responsibilities
- Collaborate with clients to design, build, and deploy architectures that support machine learning and automation initiatives.
- Apply advanced skills in modern data architecture, data engineering, data transformation, and management of structured and unstructured data across cloud or on‑prem platforms.
- Design and lead the development of scalable, high‑performance data architecture solutions that support business objectives and AI/GenAI use cases.
- Support and enhance data architectures and pipelines; define database schemas (Graph, SQL, NoSQL) to enable scalable algorithms and deployment aligned with agile priorities.
- Participate in architectural and deployment discussions to ensure designs scale, remain secure, and achieve high availability in cloud or on‑prem environments.
- Adopt best engineering practices in automation, high performance computing, and AI/GenAI infrastructure design patterns.
- Define and lead technology proofs of concepts to establish feasibility of new data and cloud technologies.
- Demonstrate thought leadership and execution in advancing modern data architecture principles and technology modernization.
- Mentor and coach junior team members on technical best practices and professional development.
Requirements
- Ability to work independently and collaboratively within a team.
- Effective written and verbal communication skills.
- Meticulous attention to detail and quality of work.
- Ability to build and sustain professional relationships.
- Ability to lead projects or workstreams.
- Ability to manage and prioritize multiple tasks in a fast‑paced environment.
- Strong interpersonal skills and professional demeanor.
- Ability to meet deadlines.
- Ability to provide clear guidance to others.
Technologies
- AWS
- Azure
- Google Cloud Platform (GCP)
- Python
- Linux
- SQL
- PowerShell
- Puppet
- Ansible
- Chef
- Airflow
- Terraform
- Jenkins
- Neo4j
- NoSQL
- Kubernetes
- Docker
- NVIDIA TensorRT
- Triton
- RAPIDS
- Kubeflow
- MLflow
- Kafka
- CUDA
- OpenCL
Benefits
- Discretionary annual incentive program
The Team
Our Strategy offering develops bold plans to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and ongoing digital and AI transformation.
SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence. The team has a proven track record serving large, market‑leading organizations in both private and public sectors, delivering high‑quality, novel, and complex projects while offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers.
