Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.
Insights Innovation & Operate
Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value.
Recruiting for this role ends on 8/31/25.
The
AI Data Specialist in Deloitte's Insights, Innovation & Operate practice will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models.
Additionally, the
AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. 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 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.
The
AI Data Specialist will also help with translating project requirements into strategic 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.
Work you'll do:
Strategic Alignment and Vision
- Help define the AI/ML/GenAI technical direction and 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
- Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.
Design and Technology Selection
- 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.
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.
- Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.
Collaboration and Stakeholder Engagement
- Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design.
- Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.
Consulting & Advisory
- Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.
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.
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.
Required Qualifications:
- Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.
- 6+ years of related consulting experience leading a team (both onshore and offshore).
- 6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.
- 5+ years of experience working in an AI environment.
- 5+ years of experience translating requirements into client ready design documents.
- 5+ years of experience with application architecture analysis, design, and delivery
- 5+ years of full system development life cycle implementations
- Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred Qualifications:
- Advanced degrees such as Masters or PhD are preferred
- Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
- 5 + years of experience in Data Science, Statistics, and Machine Learning
- 5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing
- 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment
- 5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800-241,000
Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC
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
For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html
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