Senior AI Engineer

Join Deloitte through SFL Scientific as a Senior AI Engineer in Cincinnati, onsite. This role focuses on designing, building, and deploying scalable AI and GenAI infrastructure and data architectures, collaborating with data scientists, machine learning engineers, and industry experts across client engagements. Expect a clear path for professional growth, mentorship, and a culture that emphasizes rigorous engineering practices, modern data platforms, and responsible AI. The position is onsite in Cincinnati, with a salary range of USD 128,000 to 252,500 per year.

Responsibilities

• Collaborate with clients to architect, build, and deploy new systems that enable machine learning and automation initiatives.
• Apply advanced skills in modern data architecture, data engineering for science, data transformation, and management of structured and unstructured data across cloud and on premise environments.
• Design and guide the development of scalable, high performance data architecture solutions that support business needs and AI/GenAI use cases.
• Enhance data architectures and pipelines; define schemas across graph, SQL, and NoSQL databases to enable scalable algorithms aligned with agile priorities.
• Contribute to architecture and deployment discussions to ensure solutions are scalable, secure, and highly available in cloud or on prem.
• Implement engineering best practices in automation, high performance computing, and AI/GenAI infrastructure design.
• Define and drive technology proof of concepts to validate new data and cloud solutions.
• Demonstrate thought leadership and practical execution in advancing modern data architecture and technology modernization.
• Mentor and guide junior teammates in engineering best practices and professional growth.

Requirements

• Bachelor's degree in a STEM field or equivalent experience.
• 4+ years in data engineering, data science, software engineering, or MLOps with a focus on deploying AI and machine learning.
• 4+ years designing cloud solutions and supporting production projects with hands-on work in AWS (or Azure, GCP equivalents).
• 4+ years programming with Linux shell/CLI, Python, SQL, PowerShell.
• 2+ years leading technical delivery teams on complex projects.
• 2+ years in DevOps and CI/CD tools such as Puppet, Ansible, Chef, Airflow, Terraform, Jenkins.
• 2+ years building databases and ETL/ELT pipelines across relational, NoSQL, and graph databases like Neo4j.
• 2+ years deploying and optimizing Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, and related technologies.
• Located within commuting distance to a Deloitte consulting office and able to travel about 10% as needed.
• Limited immigration sponsorship may be available.

Technologies

• Python
• SQL
• Linux Shell/CLI
• PowerShell
• Puppet
• Ansible
• Chef
• Airflow
• Terraform
• Jenkins
• Kubernetes
• Docker
• NVIDIA TensorRT
• Triton
• RAPIDs
• Kubeflow
• MLflow
• Kafka
• Graph databases
• Neo4j
• NoSQL
• AWS
• Azure
• GCP
• CUDA
• OpenCL