Higher Education AI Solution Specialist

Data Analytics | Cognitive & Data Science
Same job available in 6 locations

Atlanta, Georgia, United States

Austin, Texas, United States

Chicago, Illinois, United States

Raleigh, North Carolina, United States

Rosslyn, Virginia, United States

Tampa, Florida, United States

Position Summary

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.


Work you’ll do 

Join us for a transformative journey with Deloitte’s Higher Education Consulting team as an AI Senior Solution Architect. You are not just accepting a job; you are seizing the opportunity to be a part of an impactful change, shaping the future of higher education. With the advent of Large Language Models (LLMs), academia is witnessing an unprecedented transformation, and this role places you at the helm of this exciting shift.
As a part of our dynamic team, you will have the opportunity to define and design personalized and business-friendly applications that are transforming the intersection of education and technology for a variety of clients in the Higher Education sub-sector. You will be crucial in integrating AI capabilities into our existing assets and developing new AI-enabled assets. Your deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models will be pivotal in this transformative journey.
This role is about harnessing Data and AI technologies to provide real-time insights into higher education, developing innovative solutions that enhance the experiences of students, faculty, and administration. We aim to improve the human journey within educational institutions.
The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.

This role will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.

Join us in this pivotal role and be a part of the team that’s not just witnessing, but actively shaping, the transformative effect of LLMs on higher education.

Work you’ll do:
Strategic Alignment and Vision
• Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts
• Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases
Architectural Design and Technology Selection
• Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models & GenAI solutions
• Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools
• Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models
Collaboration and Stakeholder Engagement
• Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design
• Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements
• Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies
Operational Excellence and Continuous Improvement
• Be responsible for the successful execution of AI-powered applications using agile methodology
• Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms
• Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements
Risk Management and Ethical Considerations
• Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations
• Address potential issues such as training data poisoning, AI model theft, and adversarial samples
Product Strategy and Business Understanding
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products
• Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches
Research and Development
• Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost
Tool Development and Data Management
• Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization
• Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure



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-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.




  • Master’s degree required (PhD preferred)
  • 15+ years of professional experience, with advanced knowledge in AI/ML, Cloud and LLMs
  • Proven track record of working with C-level clients to deliver solutions
  • Limited immigration sponsorship may be available
  • Travel up to 25% 



  • Certifications in AI/ML Technologies and Cloud platforms – AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, or Azure Solutions Architect
  • Previous experience in Higher Education

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 

Recruiting tips

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Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.

Requisition code: 183375


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