Senior Associate, Data Strategy Enablement & Innovation
Responsibilities
- Contribute to the firm's AI and Data architecture by applying best practices to build scalable, secure, and reliable systems
- Support the implementation of the firm-wide data strategy and specialized AI systems, including Knowledge Assistants and Agentic Frameworks
- Participate in the evaluation of emerging Data and AI technologies by conducting hands-on experiments with ecosystem vendors
- Assist in documenting technical results and translating successful proofs-of-concept into functional capabilities
- Utilize established tests, metrics, and benchmarks to assess the quality, performance, and impact of AI systems
- Build reusable frameworks, APIs, and scalable data solutions using the Azure and Google ecosystems, helping cross-functional teams deliver their advanced analytics and AI-driven use cases
- Work closely with technology teams and business stakeholders to ensure AI solutions and experiments align with functional priorities
- Clearly communicate technical concepts and data-driven insights to team members and project leaders
- Actively engage in continuous learning and professional development, and share knowledge with peers
Qualifications
- Minimum three years of recent progressive experience in a role such as AI/Data Engineering, Software Development, or Data Analytics, with a background in AI full-stack development and platform enablement
- Bachelor's degree in computer science, engineering, data science, or a related field from an accredited college or university is required
- Hands-on experience developing and delivering solutions on cloud platforms, with required experience in Microsoft Azure (including Azure Databricks) and a strong preference for experience with the Google Cloud Platform (GCP) ecosystem
- PRACTICAL EXPERIENCE WITH GENERATIVE AI, INCLUDING HANDS-ON WORK WITH LARGE LANGUAGE MODELS (LLMs like Google Gemini), RETRIEVAL-AUGMENTED GENERATION (RAG), AND THE IMPLEMENTATION OF AGENTIC FRAMEWORKS
- Strong communication and teamwork skills, with a proven ability to collaborate effectively with business stakeholders and translate technical ideas into actionable tasks
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa)
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