In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems.

By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

The team:

Deloitte's Government and 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 over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-maker s. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-maker s that consume insights.

Work you'll do:

The Dialog Engineer will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based conversation systems, ensuring smooth and engaging user experiences. Additionally, the Prompt Engineer will participate 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. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:

• Working across client teams to develop and architect Generative AI solutions using ML and GenAI

• Developing and promoting standards across the community

• Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies

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

• Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes

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

  Required Q ualifications:

• Masters or Doctorate degree required in applicable subject

• 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 have active Secret, Top Secret or TS/SCI level clearance

• 2+ years of professional experience programming in Python or R

• 1+ years of professional experience with Natural Language Processing (NLP)

• 1+ years of professional experience with Large Language Models (LLM)

• 1+ years of experience building and maintaining scalable API solutions

• 1+ years of experience with GenAI engineering, implementation and tools

• Ability to support a hybrid to fulltime schedule onsite in the DC area

  Preferred Q ualifications:

• Previous Government Consulting and/or professional services experience

• In depth understanding of AI protocols and standards

• Understanding of technology risks and the ability to assess and mitigate them

• Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context

• Experience with debugging and troubleshootin g software or solutions design issues

• Proven ability to stay current with best practices and new technology solutions in the field

• Ability to display both breadth and depth of knowledge regarding functional and technical issues

• Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.