Federated Systems Field Engineer

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Delivery Consultant, Data Engineering and Conversion Solutions on the team, you will:

• Work directly with data scientists and AI model developers to migrate data pipelines and training/inference workloads onto a federated AI platform, ensuring scalability and performance.
• Research, design, develop, and test distributed AI workflows, including data preprocessing, model training, and inference across AWS, GCP, and Azure environments.
• Provide hands-on technical support to data science teams, including troubleshooting VM, OS-level, and cloud infrastructure issues impacting model execution.
• Develop and maintain expertise in federated learning frameworks, including NVIDIA FLARE, to enable secure and efficient distributed model development.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required :

• Bachelor's degree
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Must be able to obtain and maintain the required clearance for this role
• 2+ years of experience working in agile environments with hands-on involvement in testing and validating data, ML, or distributed workflows
• 2+ years of experience implementing solutions in cloud environments (AWS, GCP, or Azure), including deploying data pipelines or AI/ML workloads
• 2+ years of experience with cloud networking fundamentals, including configuring and troubleshooting network components supporting distributed systems
• 2+ years of experience supporting or contributing to AI/ML or GenAI solutions, with exposure to model architecture, training, or inference workflows
• 2+ years of experience developing in Python for data engineering, automation, or machine learning use cases
• Delivery Center Location & Travel Requirements:
  
  • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg)
  • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
  • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
  • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred:

• 2+ years of experience refactoring and optimizing code for performance, scalability, and maintainability in cloud or distributed environments
• 2+ years of experience with identity and access management concepts in cloud or federated environments
• 2+ years of experience working with modular cloud platforms, orchestration tools, or model control processes supporting ML pipelines