Senior AI Engineer: Architect & Deploy Scalable AI

Deloitte France; Cincinnati (OH); On-site; USD 128,000 - 253,000; Full time

Job summary

SFL Scientific, a Deloitte Business, invites applications for a Senior AI Engineer to help design and deploy scalable AI/data architectures across cloud and on-prem environments. You will collaborate with data scientists, ML engineers, and project managers to deliver robust AI infrastructure for diverse applications.

The role emphasizes hands-on engineering, leadership, and a consultative approach to provide technical solutions for major client engagements.

Qualifications

• Bachelor's degree in a STEM field or equivalent experience.
• 4+ years in data engineering, data science, software engineering, or MLOps specializing in AI and Machine Learning deployment.
• 4+ years designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• 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

Responsibilities

• Design, develop, and deploy architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
• A successful candidate would possess these skills:

Skills

Python

SQL

Linux

Cloud computing

AWS

CI/CD

Docker

Kubernetes

Machine Learning deployment

Leadership

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

CUDA

Kubeflow

MLflow

Kafka

NVIDIA TensorRT

Triton

RAPIDs

Docker

NoSQL

Job description

SFL Scientific, a Deloitte Business, invites applications for a Senior AI Engineer to help design and deploy scalable AI/data architectures across cloud and on-prem environments. You will collaborate with data scientists, ML engineers, and project managers to deliver robust AI infrastructure for diverse applications.

The role emphasizes hands-on engineering, leadership, and a consultative approach to provide technical solutions for major client engagements.