Delivery Consultant, Data Engineering and Gen AI...

Join Deloitte's Government & Public Services (GPS) practice as a Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...

• Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences

• Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review

• Developing and promoting standards across the community

• Working with leadership and stakeholders to identify AI opportunities and promote strategy

• Building and prioritizing backlog for future machine-learning enabled features to support client business processes

• 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, + Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience

• 3+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras

• 3+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.

• 1+ years of understanding of machine learning algorithms, including supervised and unsupervised learning

• Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)

• Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL

• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

• Limited Sponsorship is available

Preferred:

• 1+ years of experience supporting government or public sector data programs

• Master's Degree in related technical discipline

• Experience working with Agile delivery methods

• Experience with Agentic AI development

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.