Senior AI Engineer

Within Deloitte's SFL Scientific practice, the Senior AI Engineer designs, deploys, and optimizes AI infrastructure and data architectures for a range of client projects. The role requires a minimum of 2 years of relevant experience.

Location

Minneapolis, MN (onsite)

Salary

USD 128,000 - 252,500 per year

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 science engineering, data transformation, and management of both structured and unstructured data across cloud and on premises environments.
• Design and steer development of scalable, high-performance data architecture solutions that support client business needs and AI or GenAI use cases.
• Support and enhance data architectures and pipelines; define database schemas for Graph, SQL, and NoSQL to enable scalable algorithm deployment aligned with agile priorities.
• Participate in architectural and deployment discussions to ensure solutions are scalable, secure, and highly available in cloud or on-prem settings.
• Adopt best engineering practices in automation, HPC, and AI/GenAI infrastructure design patterns.
• Define and lead technology proof of concepts to validate the feasibility of new data and cloud technology solutions.
• Demonstrate thought leadership and effective execution in modern data architecture and technology modernization efforts.
• Mentor and coach junior team members on technical best practices and professional development.

Requirements

• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
• 4+ years of experience in data engineering, data science, software engineering, or MLOps with a focus on AI and machine learning deployment.
• 4+ years in designing cloud solutions and supporting production projects, with hands-on experience using AWS services or their Azure/GCP equivalents.
• 4+ years of programming experience with Linux shell/CLI, Python, SQL, PowerShell, and related tools.
• 2+ years of experience managing technical delivery teams on complex, high-impact projects.
• 2+ years in DevOps and leveraging CI/CD services such as Puppet, Ansible, Chef, Airflow, Terraform, and Jenkins.
• 2+ years of experience with database development and ETL/ELT pipelines across relational, NoSQL, and graph databases (e.g., Neo4j).
• 2+ years of deployment and optimization work with Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, and related technologies.
• Residence within commuting distance to a Deloitte consulting office.
• Ability to travel approximately 10 percent of the time, depending on assignments and client needs.
• Limited immigration sponsorship may be available.

Technologies

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

Benefits

• Discretionary annual incentive program